Chronic Kidney Disease (CKD) is a condition where kidneys partially work in filtering waste products from blood. In most cases, CKD patients do not experience any symptoms in the early stages. This makes early detection of CKD much harder. The result is starting treatment at a later stage which not only complicates the health condition of the patient, but it also increases the healthcare cost for the patient. This paper describes a mobile application the authors have developed which can be used by any healthcare practitioner. In addition to detecting the presence and the stage of CKD, the application also lets the user find out two risk factors associated with CKD patients, namely Anemia and Mineral Bone Disease (MBD). After detecting either or both of these risk factors, the tool recommends initial treatment plans for the same based on guidelines provided the National Kidney Foundation (NKF) in the United States.
{"title":"A Mobile Application for Chronic Kidney Disease (CKD) Diagnosis","authors":"K. Periyasamy, A. Kaivelikkal, V. Iyer","doi":"10.1145/3545729.3545740","DOIUrl":"https://doi.org/10.1145/3545729.3545740","url":null,"abstract":"Chronic Kidney Disease (CKD) is a condition where kidneys partially work in filtering waste products from blood. In most cases, CKD patients do not experience any symptoms in the early stages. This makes early detection of CKD much harder. The result is starting treatment at a later stage which not only complicates the health condition of the patient, but it also increases the healthcare cost for the patient. This paper describes a mobile application the authors have developed which can be used by any healthcare practitioner. In addition to detecting the presence and the stage of CKD, the application also lets the user find out two risk factors associated with CKD patients, namely Anemia and Mineral Bone Disease (MBD). After detecting either or both of these risk factors, the tool recommends initial treatment plans for the same based on guidelines provided the National Kidney Foundation (NKF) in the United States.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127006892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There is increasing interest in obtaining electronic information from sources other than official public health organizations for public health surveillance. The potential of novel digital data sources, such as internet news, search engine, social media, mobile apps and wearable devices in improving the speed, scope and temporal precision of disease surveillance have been demonstrated. However, the value of Online Health Consultation (OHC) data in public health surveillance is ignored. This study aims to assess the predictive value of OHC data in public health surveillance. This study constructs a public health surveillance system for HIV with OHC data based on the medical entities extraction and disease prediction two-module framework. This research outcome will contribute to closing the knowledge gap in the research area of digital public health surveillance and provide inspiration for relevant scholars to make better use of OHC data in their research.
{"title":"Digital Public Health Surveillance with Online Health Consultation Data: An Example of HIV Monitoring","authors":"Chen Liu, William Yu Chung Wang, Gohar Khan","doi":"10.1145/3545729.3545748","DOIUrl":"https://doi.org/10.1145/3545729.3545748","url":null,"abstract":"There is increasing interest in obtaining electronic information from sources other than official public health organizations for public health surveillance. The potential of novel digital data sources, such as internet news, search engine, social media, mobile apps and wearable devices in improving the speed, scope and temporal precision of disease surveillance have been demonstrated. However, the value of Online Health Consultation (OHC) data in public health surveillance is ignored. This study aims to assess the predictive value of OHC data in public health surveillance. This study constructs a public health surveillance system for HIV with OHC data based on the medical entities extraction and disease prediction two-module framework. This research outcome will contribute to closing the knowledge gap in the research area of digital public health surveillance and provide inspiration for relevant scholars to make better use of OHC data in their research.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129740481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vilma Putnynaite, L. Bartusis, S. Krakauskaite, R. Zakelis, Y. Hamarat
Intracranial pressure (ICP) monitoring is essential in management and in treatment of neurosurgical, neurological, and in some cases of ophthalmological patients. However, ICP monitoring is not suitable for a wider range of patient groups due to the invasiveness. Non-invasive ICP estimation would also be valuable in other clinical situations where patients are conscious (nephrology, aerospace, and sport medicine, etc.). In case of ophthalmology, ICP and intraocular pressure is considered to be two key factors for precise and patient individual normal tension and high-tension glaucoma diagnosis. Here, we have compared two different non-invasive ICP measurement methods. After snapshot calibration by non-invasive ICP snapshot measurement method, the ICP monitoring method could be used in glaucoma patients in cases where ICP values are low than the normal range.
{"title":"The comparison of non-invasive ICPsnapshot and non-invasive ICPmonitoring methods on healthy volunteer: A pilot study.","authors":"Vilma Putnynaite, L. Bartusis, S. Krakauskaite, R. Zakelis, Y. Hamarat","doi":"10.1145/3545729.3545774","DOIUrl":"https://doi.org/10.1145/3545729.3545774","url":null,"abstract":"Intracranial pressure (ICP) monitoring is essential in management and in treatment of neurosurgical, neurological, and in some cases of ophthalmological patients. However, ICP monitoring is not suitable for a wider range of patient groups due to the invasiveness. Non-invasive ICP estimation would also be valuable in other clinical situations where patients are conscious (nephrology, aerospace, and sport medicine, etc.). In case of ophthalmology, ICP and intraocular pressure is considered to be two key factors for precise and patient individual normal tension and high-tension glaucoma diagnosis. Here, we have compared two different non-invasive ICP measurement methods. After snapshot calibration by non-invasive ICP snapshot measurement method, the ICP monitoring method could be used in glaucoma patients in cases where ICP values are low than the normal range.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132464801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Montella, Marta Rosaria Marino, Massimo Majolo, E. Raiola, Giuseppe Russo, G. Longo, Michele Sparano, A. Borrelli, M. Triassi
Laparoscopic cholecystectomy (LC) is considered the standard procedure for the treatment of gallstone. Compared to traditional surgery with the introduction of this procedure reduces the recovery time for a patient. According to literature, the postoperative LOS after LC is generally between 3 and 5 days. Length of stay (LOS) is a crucial piece of the patient experience and has proven to be an important indicator of health care efficiency. In the work the clinical data of the patients of the University Hospital "San Giovanni di Dio e Ruggi d'Aragona" of Salerno and the patients of the A.O.R.N. "Antonio Cardarelli" of Naples (Italy) were used, comparing two years (2016-2017) to demonstrate that the introduction of corrective actions have led to a reduction in the postoperative LOS. A Lean Six Sigma approach was used, with the implementation of the DMAIC cycle (Define, Measure, Analyze, Improve, Control), thanks to which it was possible to demonstrate significant results in the reduction of post-operative hospitalizations.
腹腔镜胆囊切除术(LC)被认为是治疗胆结石的标准程序。与传统手术相比，该手术的引入缩短了患者的恢复时间。据文献报道，LC术后LOS一般在3 - 5天之间。住院时间(LOS)是患者体验的一个关键部分，已被证明是卫生保健效率的一个重要指标。在工作中，Salerno大学医院“San Giovanni di Dio e Ruggi d'Aragona”的患者和a.o.r.n的患者的临床资料使用那不勒斯(意大利)的“Antonio Cardarelli”，比较两年(2016-2017)来证明纠正措施的引入导致了术后LOS的减少。采用精益六西格玛方法，并实施DMAIC循环(定义、测量、分析、改进、控制)，因此有可能在减少术后住院治疗方面取得显著成果。
{"title":"Lean Six Sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy: a bicentric study","authors":"E. Montella, Marta Rosaria Marino, Massimo Majolo, E. Raiola, Giuseppe Russo, G. Longo, Michele Sparano, A. Borrelli, M. Triassi","doi":"10.1145/3545729.3545779","DOIUrl":"https://doi.org/10.1145/3545729.3545779","url":null,"abstract":"Laparoscopic cholecystectomy (LC) is considered the standard procedure for the treatment of gallstone. Compared to traditional surgery with the introduction of this procedure reduces the recovery time for a patient. According to literature, the postoperative LOS after LC is generally between 3 and 5 days. Length of stay (LOS) is a crucial piece of the patient experience and has proven to be an important indicator of health care efficiency. In the work the clinical data of the patients of the University Hospital \"San Giovanni di Dio e Ruggi d'Aragona\" of Salerno and the patients of the A.O.R.N. \"Antonio Cardarelli\" of Naples (Italy) were used, comparing two years (2016-2017) to demonstrate that the introduction of corrective actions have led to a reduction in the postoperative LOS. A Lean Six Sigma approach was used, with the implementation of the DMAIC cycle (Define, Measure, Analyze, Improve, Control), thanks to which it was possible to demonstrate significant results in the reduction of post-operative hospitalizations.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Scala, Teresa Angela Trunfio, I. Loperto, R. Alfano, A. Lombardi, A. Borrelli, M. Triassi, G. Improta
Background. The CoViD-19 pandemic has hit the public health system in many nations hard. The long incubation period, the high infectious rate, the varied manifestation and the lack of effective treatment make managing the transmission of the disease difficult. For this reason, the health focus has been shifted to its management, thus limiting the activity carried out by surgical specialties. In neurosurgery, the complexity and importance of treatments in some cases requires timely intervention that cannot be delayed. Methods. In this study, the demographic and activity data of patients discharged from the Complex Operative Units (COU) of Neurosurgery and Neurosurgical Clinic of the "San Giovanni di Dio e Ruggi d'Aragona" University Hospital of Salerno (Italy) in the years 2019 (pre-pandemic) and 2020 (during the pandemic) were analyzed using statistical test and logistic regression. Results. Both statistical tests and logistic regression showed a significant increase in the weight of the Diagnosis Related Group (DRG) obtained from the COUs, demonstrating an improvement in the appropriateness of the services provided. Conclusion. This work demonstrates how a more consistent use of the hospital due to fear and containment measures has improved the performance of the COU.
{"title":"The impact of CoViD-19 on the hospital activities: the case of the Neurosurgery Department of “San Giovanni di Dio e Ruggi d'Aragona” University Hospital","authors":"A. Scala, Teresa Angela Trunfio, I. Loperto, R. Alfano, A. Lombardi, A. Borrelli, M. Triassi, G. Improta","doi":"10.1145/3545729.3545783","DOIUrl":"https://doi.org/10.1145/3545729.3545783","url":null,"abstract":"Background. The CoViD-19 pandemic has hit the public health system in many nations hard. The long incubation period, the high infectious rate, the varied manifestation and the lack of effective treatment make managing the transmission of the disease difficult. For this reason, the health focus has been shifted to its management, thus limiting the activity carried out by surgical specialties. In neurosurgery, the complexity and importance of treatments in some cases requires timely intervention that cannot be delayed. Methods. In this study, the demographic and activity data of patients discharged from the Complex Operative Units (COU) of Neurosurgery and Neurosurgical Clinic of the \"San Giovanni di Dio e Ruggi d'Aragona\" University Hospital of Salerno (Italy) in the years 2019 (pre-pandemic) and 2020 (during the pandemic) were analyzed using statistical test and logistic regression. Results. Both statistical tests and logistic regression showed a significant increase in the weight of the Diagnosis Related Group (DRG) obtained from the COUs, demonstrating an improvement in the appropriateness of the services provided. Conclusion. This work demonstrates how a more consistent use of the hospital due to fear and containment measures has improved the performance of the COU.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129872859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ida Santalucia, Marta Rosaria Marino, E. Raiola, Massimo Majolo, Giuseooe Russo, G. Longo, Giuseppe Ferrucci, A. Borrelli, M. Triassi
Laparoscopic cholecystectomy (LC) interventions have had a great impact on health management and the effect has been evident in reducing the length of stay (LOS). This parameter is usually used as a performance indicator in order to measure the goodness of a health process. The prediction and control of this indicator is of considerable relevance for the management of hospital practice. In the following work the aim is to predict LOS for patients having LC surgery, using a linear model, at the University Hospital “San Giovanni di Dio and Ruggi d'Aragona” of Salerno (Italy) and at the A.O.R.N. "Antonio Cardarelli". Data were collected over two different years in order to compare the benefits of implementing some corrective actions introduced during the extracted time interval to increase the performance of the process under consideration. Linear regression models were implemented for each year and for each hospital. Obtained results show that in both hospitals a good predictive power of the models (R2= 0.84 and R2 = 0.97 and R2= 0.96 and R2 = 0.97 respectively).
{"title":"A multiple regression model for modelling the hospital patients LOS’ of laparoscopic cholecystectomy: a bicentric study","authors":"Ida Santalucia, Marta Rosaria Marino, E. Raiola, Massimo Majolo, Giuseooe Russo, G. Longo, Giuseppe Ferrucci, A. Borrelli, M. Triassi","doi":"10.1145/3545729.3545770","DOIUrl":"https://doi.org/10.1145/3545729.3545770","url":null,"abstract":"Laparoscopic cholecystectomy (LC) interventions have had a great impact on health management and the effect has been evident in reducing the length of stay (LOS). This parameter is usually used as a performance indicator in order to measure the goodness of a health process. The prediction and control of this indicator is of considerable relevance for the management of hospital practice. In the following work the aim is to predict LOS for patients having LC surgery, using a linear model, at the University Hospital “San Giovanni di Dio and Ruggi d'Aragona” of Salerno (Italy) and at the A.O.R.N. \"Antonio Cardarelli\". Data were collected over two different years in order to compare the benefits of implementing some corrective actions introduced during the extracted time interval to increase the performance of the process under consideration. Linear regression models were implemented for each year and for each hospital. Obtained results show that in both hospitals a good predictive power of the models (R2= 0.84 and R2 = 0.97 and R2= 0.96 and R2 = 0.97 respectively).","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130544400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hypertension has become the most risk factor for cardiovascular and cerebrovascular diseases. The purpose of this study is to reveal the information needs and evolution of hypertensive patients on online healthcare service platforms. We use the methods of statistical analysis, word frequency analysis and social network analysis to explore the information needs of hypertensive patients. The study found that the middle-aged and elderly people have the most information needs about hypertension on the online healthcare service platform, while the patients with physical examination and exercise needs are more inclined to be younger, and young male hypertension patients have more information needs than female patients. The findings recommend that middle-aged and elderly people should have regular physical examinations and exercise, and a comprehensive face-to-face system should be established on online healthcare service platforms to improve the utilization of existing question-and-answer data.
{"title":"Characteristics of the information needs of hypertension patients on online healthcare service platforms","authors":"Tingting Zhang, Sunjing Zheng, Yundi Zhang","doi":"10.1145/3545729.3545750","DOIUrl":"https://doi.org/10.1145/3545729.3545750","url":null,"abstract":"Hypertension has become the most risk factor for cardiovascular and cerebrovascular diseases. The purpose of this study is to reveal the information needs and evolution of hypertensive patients on online healthcare service platforms. We use the methods of statistical analysis, word frequency analysis and social network analysis to explore the information needs of hypertensive patients. The study found that the middle-aged and elderly people have the most information needs about hypertension on the online healthcare service platform, while the patients with physical examination and exercise needs are more inclined to be younger, and young male hypertension patients have more information needs than female patients. The findings recommend that middle-aged and elderly people should have regular physical examinations and exercise, and a comprehensive face-to-face system should be established on online healthcare service platforms to improve the utilization of existing question-and-answer data.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129971145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The etiology of necrotizing enterocolitis (NEC) is influenced by many factors including hypoxia, intestinal immaturity, bacterial colonization, reactive oxidants, and imbalanced inflammatory response; therefore, the pathogenesis of NEC is considered multifactorial. However, the pathogenesis of NEC has not been fully elucidated and requires further investigation. This study aimed to analyze the association between hypoxia inducible factor-1alpha (HIF-1alpha), glial fibrillary acidic protein (GFAP), glial derived neutrophic factor (GDNF), fatty acid binding protein-2 (FABP-2), peroxime proliferator activated receptor-gamma (PPAR-gamma), interleukin-6 (IL-6), and interleukin-8 (IL-8) with the incidence of NEC in preterm infants. All preterm infants with birth weight <1500 grams or gestational age <34 weeks were included in this study. After the umbilical cord was removed, 1 mL of umbilical blood was taken for HIF-1alpha, GFAP, GDNF, FABP-2, PPAR-gamma, IL-6, and IL-8 examination. Examination of HIF-1alpha, GFAP, GDNF, FABP-2, PPAR-gamma, IL-6, and IL-8 was repeated in infants with NEC symptoms using peripheral venous blood specimen. Infants were observed for 2 weeks. NEC was diagnosed based on clinical symptoms and abnormal abdominal radiographs. Of the 30 infants, there were 9 (30%) infants who experienced NEC. Logistic regression analysis showed significant results on GFAP with Odds Ratio (OR)=15.629 (95% confidence interval=1.697-143.906) P=0.015 and FABP-2 with OR=1.008 (1.001-1.015) P=0.033. Multivariate analysis using Backward LR logistic regression model showed significant results on GFAP with adjusted OR=15.629 (1.697-143.906) with P=0.015. This study demonstrated that GFAP and FABP-2 were significantly associated with the incidence of NEC. This may explain the pathogenesis of NEC through a hypoxic mechanism.
{"title":"Mechanism of necrotizing enterocolitis in preterm infants through the hypoxia signaling pathway, neuronal-glial signaling pathway, and intestinal fatty acid signaling pathway","authors":"D. Angelika, R. Etika, I. Ugrasena","doi":"10.1145/3545729.3545767","DOIUrl":"https://doi.org/10.1145/3545729.3545767","url":null,"abstract":"The etiology of necrotizing enterocolitis (NEC) is influenced by many factors including hypoxia, intestinal immaturity, bacterial colonization, reactive oxidants, and imbalanced inflammatory response; therefore, the pathogenesis of NEC is considered multifactorial. However, the pathogenesis of NEC has not been fully elucidated and requires further investigation. This study aimed to analyze the association between hypoxia inducible factor-1alpha (HIF-1alpha), glial fibrillary acidic protein (GFAP), glial derived neutrophic factor (GDNF), fatty acid binding protein-2 (FABP-2), peroxime proliferator activated receptor-gamma (PPAR-gamma), interleukin-6 (IL-6), and interleukin-8 (IL-8) with the incidence of NEC in preterm infants. All preterm infants with birth weight <1500 grams or gestational age <34 weeks were included in this study. After the umbilical cord was removed, 1 mL of umbilical blood was taken for HIF-1alpha, GFAP, GDNF, FABP-2, PPAR-gamma, IL-6, and IL-8 examination. Examination of HIF-1alpha, GFAP, GDNF, FABP-2, PPAR-gamma, IL-6, and IL-8 was repeated in infants with NEC symptoms using peripheral venous blood specimen. Infants were observed for 2 weeks. NEC was diagnosed based on clinical symptoms and abnormal abdominal radiographs. Of the 30 infants, there were 9 (30%) infants who experienced NEC. Logistic regression analysis showed significant results on GFAP with Odds Ratio (OR)=15.629 (95% confidence interval=1.697-143.906) P=0.015 and FABP-2 with OR=1.008 (1.001-1.015) P=0.033. Multivariate analysis using Backward LR logistic regression model showed significant results on GFAP with adjusted OR=15.629 (1.697-143.906) with P=0.015. This study demonstrated that GFAP and FABP-2 were significantly associated with the incidence of NEC. This may explain the pathogenesis of NEC through a hypoxic mechanism.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124505942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study compared the effectiveness of COVID-19 control policies, including wearing masks, and the vaccine rates through proportional infection rate in 28 states of the United States using the eSIR model. The effective rate of policies was measured by the difference between the predicted daily infection proportion rate using the data before the policy and the actual daily infection proportion rate. The study suggests that both mask and vaccine policy had a significant impact on mitigating the pandemic. We further explored how different social factors influenced the effectiveness of a specific policy through the linear regression model. Out of 9 factors, the population density, number of hospital beds per 1000 people, and percent of the population over 65 are the most substantial factors on mask policy effectiveness, while public health funding per person, percent of immigration have the most significant influence on vaccine policy effectiveness. This study summarized the effectiveness of different policies and factors they associated with. It can be served as a reference for future covid-19 related policy.
{"title":"New Approach to Policy Effectiveness for Covid-19 and Factors Influence Policy Effectiveness","authors":"Yile He","doi":"10.1145/3545729.3545773","DOIUrl":"https://doi.org/10.1145/3545729.3545773","url":null,"abstract":"This study compared the effectiveness of COVID-19 control policies, including wearing masks, and the vaccine rates through proportional infection rate in 28 states of the United States using the eSIR model. The effective rate of policies was measured by the difference between the predicted daily infection proportion rate using the data before the policy and the actual daily infection proportion rate. The study suggests that both mask and vaccine policy had a significant impact on mitigating the pandemic. We further explored how different social factors influenced the effectiveness of a specific policy through the linear regression model. Out of 9 factors, the population density, number of hospital beds per 1000 people, and percent of the population over 65 are the most substantial factors on mask policy effectiveness, while public health funding per person, percent of immigration have the most significant influence on vaccine policy effectiveness. This study summarized the effectiveness of different policies and factors they associated with. It can be served as a reference for future covid-19 related policy.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114735919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paulo Henrique de C. Oliveira, Mylène C. Q. Farias, Daniel S. Ferreira, A. Krylov, Yong Ding
The process of diagnosing brain tumors from magnetic resonance imaging (MRI) is often time-consuming. Thus, a rapid analyses through an automated system could help improve the treatment possibilities and optimize hospital resources. This paper proposes a method for the classification of brain tumors by means of pre-selecting the tumor region. We estimate the region of interest using attention algorithms and input it to a neural network that classifies the regions as tumoral and non-tumoral. Pre-selecting the region of interest, instead of using the entire image, produced a final classification accuracy of 91.68%, 92.58%, 92.69%, and 93.4% with the models Resnet18, Resnet34, VGG16, and Alexnet, respectively. Once the dimensional space of the input image is reduced, the neural networks is able to capture additional details of the tumor regions during the training stage. This study demonstrates the importance of saliency maps for identifying tumor regions in magnetic resonance images.
{"title":"Using a Saliency-Driven Convolutional Neural Network Framework for Brain Tumor Detection","authors":"Paulo Henrique de C. Oliveira, Mylène C. Q. Farias, Daniel S. Ferreira, A. Krylov, Yong Ding","doi":"10.1145/3545729.3545762","DOIUrl":"https://doi.org/10.1145/3545729.3545762","url":null,"abstract":"The process of diagnosing brain tumors from magnetic resonance imaging (MRI) is often time-consuming. Thus, a rapid analyses through an automated system could help improve the treatment possibilities and optimize hospital resources. This paper proposes a method for the classification of brain tumors by means of pre-selecting the tumor region. We estimate the region of interest using attention algorithms and input it to a neural network that classifies the regions as tumoral and non-tumoral. Pre-selecting the region of interest, instead of using the entire image, produced a final classification accuracy of 91.68%, 92.58%, 92.69%, and 93.4% with the models Resnet18, Resnet34, VGG16, and Alexnet, respectively. Once the dimensional space of the input image is reduced, the neural networks is able to capture additional details of the tumor regions during the training stage. This study demonstrates the importance of saliency maps for identifying tumor regions in magnetic resonance images.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115222784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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