I. Loperto, A. Borrelli, Michele Sparano, M. Triassi
The CoViD-19 pandemic is an international public health emergency. The management of the hospitals found themselves facing an ever-increasing demand for beds, especially for intensive care, thus having to make critical decisions in a short time. A shared action was to block elective surgery deemed deferrable and to transfer resources to the management of the pandemic. The activity of the surgical departments has therefore undergone substantial alterations. In this study, logistic regression and statistical analysis was used to characterize this difference for the Urology Department in "San Giovanni di Dio and Ruggi d'Aragona" University Hospital of Salerno (Italy) by analyzing a set of variables and compared the data obtained in the year 2019, pre-pandemic, with that recorded the following year, in the height of the pandemic. The results show an increased number of emergency hospitalizations as well as scheduled hospitalizations with pre-admission.
{"title":"Hospital activities and CoViD-19: the case study of a Urology Department","authors":"I. Loperto, A. Borrelli, Michele Sparano, M. Triassi","doi":"10.1145/3502060.3503663","DOIUrl":"https://doi.org/10.1145/3502060.3503663","url":null,"abstract":"The CoViD-19 pandemic is an international public health emergency. The management of the hospitals found themselves facing an ever-increasing demand for beds, especially for intensive care, thus having to make critical decisions in a short time. A shared action was to block elective surgery deemed deferrable and to transfer resources to the management of the pandemic. The activity of the surgical departments has therefore undergone substantial alterations. In this study, logistic regression and statistical analysis was used to characterize this difference for the Urology Department in \"San Giovanni di Dio and Ruggi d'Aragona\" University Hospital of Salerno (Italy) by analyzing a set of variables and compared the data obtained in the year 2019, pre-pandemic, with that recorded the following year, in the height of the pandemic. The results show an increased number of emergency hospitalizations as well as scheduled hospitalizations with pre-admission.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116560374","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}
Skin plays an indispensable role in protection, sensation, temperature regulation and so on. Autologous skin grafting is the main method to treat skin wounds. However, patients with large-scale skin defects often face the problem of insufficient autologous skin, and the emergence of tissue engineering effectively compensates for the lack of skin sources. In recent years, with the efforts of scientists, skin tissue engineering technology has made some progress. In this paper, the development of skin tissue engineering in scaffold materials, seed cells and growth factors are reviewed, hoping to provide reference for the progress of skin tissue engineering.
{"title":"The evolution of skin tissue engineering: A review on recent trends and advances","authors":"Haohong Wu","doi":"10.1145/3502060.3502061","DOIUrl":"https://doi.org/10.1145/3502060.3502061","url":null,"abstract":"Skin plays an indispensable role in protection, sensation, temperature regulation and so on. Autologous skin grafting is the main method to treat skin wounds. However, patients with large-scale skin defects often face the problem of insufficient autologous skin, and the emergence of tissue engineering effectively compensates for the lack of skin sources. In recent years, with the efforts of scientists, skin tissue engineering technology has made some progress. In this paper, the development of skin tissue engineering in scaffold materials, seed cells and growth factors are reviewed, hoping to provide reference for the progress of skin tissue engineering.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134370289","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. M. Ponsiglione, Massimo Majolo, G. Longo, Giuseppe Russo, M. Triassi, E. Raiola, G. Improta
The emergency department (ED) is the access point for urgent cases within the health facility. In recent years, however, several factors have led to a massive use of ED as a privileged access method to assistance even for patients who do not need timely treatment. This flow of so-called "non-urgent" cases generates pressure on the ED resources, leading to a considerable increase in waiting times which, in turn, generates an increase in patients who leave the ED before being visited from medical doctors. In this work, we investigate some of the factors that may lead to the decision to leave the ED before the first visit. Data were collected at the hospital A.O.R.N. “A. Cardarelli” of Naples (Italy) and then analyzed through traditional statistical tools and more advanced machine learning algorithms.
{"title":"Analysis of voluntary departures from the Emergency Department of the hospital AORN “A. Cardarelli”","authors":"A. M. Ponsiglione, Massimo Majolo, G. Longo, Giuseppe Russo, M. Triassi, E. Raiola, G. Improta","doi":"10.1145/3502060.3503630","DOIUrl":"https://doi.org/10.1145/3502060.3503630","url":null,"abstract":"The emergency department (ED) is the access point for urgent cases within the health facility. In recent years, however, several factors have led to a massive use of ED as a privileged access method to assistance even for patients who do not need timely treatment. This flow of so-called \"non-urgent\" cases generates pressure on the ED resources, leading to a considerable increase in waiting times which, in turn, generates an increase in patients who leave the ED before being visited from medical doctors. In this work, we investigate some of the factors that may lead to the decision to leave the ED before the first visit. Data were collected at the hospital A.O.R.N. “A. Cardarelli” of Naples (Italy) and then analyzed through traditional statistical tools and more advanced machine learning algorithms.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122245587","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}
Cristiana Giglio, C. Lauri, Antonio Della Vecchia, A. Borrelli, Giuseppe Russo, M. Triassi, G. Improta
Emergency Departments (EDs) overcrowding is an acknowledged critical issue affecting international public health in recent years, that arises from both the growth of the health care supply/demand imbalance and the lack of beds available in hospitals wards and EDs. Emergency department length of stay (ED-LOS) is identified as a valuable key measure of EDs bottlenecks, and specifically of the rapidity of access to care for patients and of the overcrowding. ED-LOS measures how long patients stay in the ED from their first registration and triage to their admittance to a hospital ward or their discharge. Prolonged ED-LOS has been associated with adverse outcomes, such as reduced level of quality of care and patient satisfaction, increased risk of mortality and financial loss. Understanding aspects affecting LOS is essential for the management of an ED and for implementing improvement interventions. The aim of this study is to determine the several factors affecting LOS in EDs and to build a model capable of predicting ED-LOS through different machine learning (ML) models. ML algorithms were performed considering data extracted from the ED database of the “San Giovanni di Dio e Ruggi d'Aragona” University Hospital (Salerno, Italy). The proposed prediction model shows promising outcomes and therefore it can be used for the prediction and governance of the ED-LOS, thus anticipating the occurrence of overcrowding and improving ED care and efficiency.
急诊科人满为患是近年来公认的影响国际公共卫生的一个关键问题，其原因是卫生保健供需失衡加剧以及医院病房和急诊科床位不足。急诊科住院时间(ED-LOS)被认为是衡量急诊科瓶颈的一个有价值的关键指标，特别是衡量病人获得护理的速度和过度拥挤的情况。ED- los衡量患者从首次登记和分诊到进入医院病房或出院在急诊室停留的时间。延长ED-LOS与不良后果相关，如护理质量和患者满意度降低、死亡风险增加和经济损失。了解影响LOS的各个方面对于ED的管理和实施改进干预措施至关重要。本研究的目的是确定影响ed中LOS的几个因素，并通过不同的机器学习(ML)模型建立一个能够预测ED-LOS的模型。ML算法考虑从“San Giovanni di Dio e Ruggi d'Aragona”大学医院(Salerno, Italy)的ED数据库中提取的数据。所提出的预测模型结果良好，可用于ED- los的预测和治理，从而预测过度拥挤的发生，提高ED的护理和效率。
{"title":"Investigation of factors increasing waiting times in the Emergency Departments of “San Giovanni di Dio e Ruggi d'Aragona” Hospital through machine learning","authors":"Cristiana Giglio, C. Lauri, Antonio Della Vecchia, A. Borrelli, Giuseppe Russo, M. Triassi, G. Improta","doi":"10.1145/3502060.3503628","DOIUrl":"https://doi.org/10.1145/3502060.3503628","url":null,"abstract":"Emergency Departments (EDs) overcrowding is an acknowledged critical issue affecting international public health in recent years, that arises from both the growth of the health care supply/demand imbalance and the lack of beds available in hospitals wards and EDs. Emergency department length of stay (ED-LOS) is identified as a valuable key measure of EDs bottlenecks, and specifically of the rapidity of access to care for patients and of the overcrowding. ED-LOS measures how long patients stay in the ED from their first registration and triage to their admittance to a hospital ward or their discharge. Prolonged ED-LOS has been associated with adverse outcomes, such as reduced level of quality of care and patient satisfaction, increased risk of mortality and financial loss. Understanding aspects affecting LOS is essential for the management of an ED and for implementing improvement interventions. The aim of this study is to determine the several factors affecting LOS in EDs and to build a model capable of predicting ED-LOS through different machine learning (ML) models. ML algorithms were performed considering data extracted from the ED database of the “San Giovanni di Dio e Ruggi d'Aragona” University Hospital (Salerno, Italy). The proposed prediction model shows promising outcomes and therefore it can be used for the prediction and governance of the ED-LOS, thus anticipating the occurrence of overcrowding and improving ED care and efficiency.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121485304","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}
Delong Yang, Dongnan Su, Zhaohui Luo, Peng Shang, Zhigang Hu
China has become a high-risk region of stroke. Most patients with stroke suffer regular bouts of post-stroke limb dyskinesia. Nowadays, there isn’t an effective treatment for these patients. Brain computer interface (BCI) establishes a new pathway to connect human brains and device, which provide an innovation method to repair the human brain nervous systems through rehabilitation training. However, one of the mainly brain activity recordings, Electroencephalogram (EEG), cannot be represented accurately by other algorithms. With the development of deep learning techniques, the topic of EEG signals’ representation by image generation technique has become an important research area. This paper we introduced the basic concepts of BCI systems first, then we give a survey of image generation techniques from EEG signals. At last, we proposed an experimental scheme of dataset establishment which is used for post-stroke patients with upper limb dyskinesia
{"title":"The Survey of Image Generation from EEG Signals based on Deep Learning","authors":"Delong Yang, Dongnan Su, Zhaohui Luo, Peng Shang, Zhigang Hu","doi":"10.1145/3502060.3502151","DOIUrl":"https://doi.org/10.1145/3502060.3502151","url":null,"abstract":"China has become a high-risk region of stroke. Most patients with stroke suffer regular bouts of post-stroke limb dyskinesia. Nowadays, there isn’t an effective treatment for these patients. Brain computer interface (BCI) establishes a new pathway to connect human brains and device, which provide an innovation method to repair the human brain nervous systems through rehabilitation training. However, one of the mainly brain activity recordings, Electroencephalogram (EEG), cannot be represented accurately by other algorithms. With the development of deep learning techniques, the topic of EEG signals’ representation by image generation technique has become an important research area. This paper we introduced the basic concepts of BCI systems first, then we give a survey of image generation techniques from EEG signals. At last, we proposed an experimental scheme of dataset establishment which is used for post-stroke patients with upper limb dyskinesia","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128108081","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}
T. Jaysrichai, Apinan Pasuta, Vorachat Pleankarom, Savit Asavadechsakdi
Abstract. Objective To compare weight-bearing capacity (WBC) and Limit of stability (LOS) between pre- and post- Kinesio Taping application on the pathologic side in persons with ankle instability. Methods Twenty-six participants with ankle instability were recruited. Participants, who performed routine exercise activities, had an average age of 19.07±1.41 years. These participants were tested using Cumberland Ankle Instability Tool (CAIT) (Thai version) and attained t the score less than equal to 27 points. Also, they were tested WBC using the Wireless Weight-Shifting Detector (WWSD; in kilograms) device and to be tested LOS (in centimeters) with Modified Star Excursion Balance (MSEB) test on anterior, posteromedial and posterolateral directions. These participants were applied the Kinesio Taping with the muscle correction and the mechanical correction technique. Afterwards, they repeated the protocol testing for measuring WBC and LOS. The weight-bearing data (kg) and distance (cm) from the MSEB test were calculated to percentage difference (in percent). Results This study revealed that Kinesio Taping application could help to improve the performance on weight-bearing and ankle stability. The average percentage difference of WBC values was increased to 2.52±4.80 percent and the average percentage difference of LOS on posteromedial direction and posterolateral direction were increased to be 12.28±12.54 and 5.82±7.68 percent, respectively. Conclusion Kinesio Taping with muscle correction and mechanical correction techniques on ankle instability can help to improve the WBC and LOS.
{"title":"Study of Weight-bearing Capacity and Limit of Stability on Ankle Instability after Applying Kinesio Taping Technique","authors":"T. Jaysrichai, Apinan Pasuta, Vorachat Pleankarom, Savit Asavadechsakdi","doi":"10.1145/3502060.3502154","DOIUrl":"https://doi.org/10.1145/3502060.3502154","url":null,"abstract":"Abstract. Objective To compare weight-bearing capacity (WBC) and Limit of stability (LOS) between pre- and post- Kinesio Taping application on the pathologic side in persons with ankle instability. Methods Twenty-six participants with ankle instability were recruited. Participants, who performed routine exercise activities, had an average age of 19.07±1.41 years. These participants were tested using Cumberland Ankle Instability Tool (CAIT) (Thai version) and attained t the score less than equal to 27 points. Also, they were tested WBC using the Wireless Weight-Shifting Detector (WWSD; in kilograms) device and to be tested LOS (in centimeters) with Modified Star Excursion Balance (MSEB) test on anterior, posteromedial and posterolateral directions. These participants were applied the Kinesio Taping with the muscle correction and the mechanical correction technique. Afterwards, they repeated the protocol testing for measuring WBC and LOS. The weight-bearing data (kg) and distance (cm) from the MSEB test were calculated to percentage difference (in percent). Results This study revealed that Kinesio Taping application could help to improve the performance on weight-bearing and ankle stability. The average percentage difference of WBC values was increased to 2.52±4.80 percent and the average percentage difference of LOS on posteromedial direction and posterolateral direction were increased to be 12.28±12.54 and 5.82±7.68 percent, respectively. Conclusion Kinesio Taping with muscle correction and mechanical correction techniques on ankle instability can help to improve the WBC and LOS.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116856157","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}
In proton therapy, the acoustic waves produced by the proton radiation can be measured to determine the proton range. The k-Wave MATLAB toolbox is used to simulate the propagation process of pressure waves in time and space. By measuring the time-of-flight (TOF) of the pressure wave, the Bragg peak distance is obtained. In this study, we obtain the error maps for different pulse widths, which show that angle is the influencing factor of protoacoustic TOF range calculations. To reduce the systematic errors, the angle θ (θ is the angle between the proton beam direction and the vector passing Bragg peak and the sensor) is mapped to the systematic error using a fifth-order polynomial to obtain the correction factor, . The presented simulations show that by correcting the distance with , the systematic error of protoacoustic range verification can be controlled within 1mm under different proton pulses widths.
{"title":"Self-correction in protoacoustic range verification for different proton pulse widths","authors":"Jiadong Li, P. Tan, Lige Zhang","doi":"10.1145/3502060.3502147","DOIUrl":"https://doi.org/10.1145/3502060.3502147","url":null,"abstract":"In proton therapy, the acoustic waves produced by the proton radiation can be measured to determine the proton range. The k-Wave MATLAB toolbox is used to simulate the propagation process of pressure waves in time and space. By measuring the time-of-flight (TOF) of the pressure wave, the Bragg peak distance is obtained. In this study, we obtain the error maps for different pulse widths, which show that angle is the influencing factor of protoacoustic TOF range calculations. To reduce the systematic errors, the angle θ (θ is the angle between the proton beam direction and the vector passing Bragg peak and the sensor) is mapped to the systematic error using a fifth-order polynomial to obtain the correction factor, . The presented simulations show that by correcting the distance with , the systematic error of protoacoustic range verification can be controlled within 1mm under different proton pulses widths.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114189836","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, R. Alfano, A. Sacco, Carlo Bernardo, Ilaria Ribera, M. Triassi, A. M. Ponsiglione
Healthcare-associated infections (HAIs) are a common complication among hospitalized patients and an important cause of mortality and morbidity in Neonatal Intensive Care Unit (NICU). New technologies have significantly improved the neonatal survival rate, while causing an increase in the spread of infections. Contracting HAIs means an increase in hospital days, specific drug therapy and greater care that translate into increased costs. Understanding the main risk factors in neonates can help prevent their spread. In this study conducted at the NICU of the “Federico II” University Hospital of Naples in 2019, statistical analysis and logistic regression were used to analyze the association between blood-stream HAIs (BSIs) and the available risk factors. The analysis showed that birthweight and central line catheterization days are significant predictors of suffering from BSIs.
{"title":"Healthcare Associated Infections in the Neonatal Intensive Care Unit of the “Federico II” University Hospital: Statistical Analysis and Study of Risk Factors","authors":"E. Montella, R. Alfano, A. Sacco, Carlo Bernardo, Ilaria Ribera, M. Triassi, A. M. Ponsiglione","doi":"10.1145/3502060.3503650","DOIUrl":"https://doi.org/10.1145/3502060.3503650","url":null,"abstract":"Healthcare-associated infections (HAIs) are a common complication among hospitalized patients and an important cause of mortality and morbidity in Neonatal Intensive Care Unit (NICU). New technologies have significantly improved the neonatal survival rate, while causing an increase in the spread of infections. Contracting HAIs means an increase in hospital days, specific drug therapy and greater care that translate into increased costs. Understanding the main risk factors in neonates can help prevent their spread. In this study conducted at the NICU of the “Federico II” University Hospital of Naples in 2019, statistical analysis and logistic regression were used to analyze the association between blood-stream HAIs (BSIs) and the available risk factors. The analysis showed that birthweight and central line catheterization days are significant predictors of suffering from BSIs.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116163878","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}
Natasha Bajj, D. Sweidan, Marry Rose Awies, Julia Barakat, Hiba F. Al-Sayyed
Food and Drug Interactions (FDIs) are one of the most serious problems encountered by the patient as well as by the health care team. FDI can affect patients’ health, especially the most susceptible ones. Dietitians should have adequate information on FDIs since this affects dietary management. To the best of the investigators’ knowledge, so far, no studies have evaluated the awareness of dietitians in the field of FDIs. This investigation is the first study on awareness of Jordanian dietitians on FDIs. Awareness is investigated usually by knowledge, attitudes, and practices. A questionnaire was developed to test awareness parameters of Jordanian dietitians regarding FDIs. The questionnaire was validated and tested for reliability. The questionnaire consisted of 4 parts i.e., sociodemographic characteristics, knowledge, attitude, and practice questions. The questionnaire was distributed to a convenient sample of 360 Jordanian dietitians. The questionnaire was valid and had a satisfactory reliability (Cronbach's-alpha value = 0.622). Jordanian dietitians scored between 0 and 36 out of 39. The mean, median, and standard deviation values of awareness were 23.45, 24.00, and 5.468 indicating very good awareness of FDIs by dietitians. The awareness of Jordanian dietitians towards DRIs should be improved by emphasizing this subject within books and magazines, scientific books in medicine, internet, social media, scientific articles, medical representatives, manufacturers websites, as well as dietitians.
{"title":"Awareness of food-drug interactions (FDIs) among Jordanian Dietitians","authors":"Natasha Bajj, D. Sweidan, Marry Rose Awies, Julia Barakat, Hiba F. Al-Sayyed","doi":"10.1145/3502060.3503640","DOIUrl":"https://doi.org/10.1145/3502060.3503640","url":null,"abstract":"Food and Drug Interactions (FDIs) are one of the most serious problems encountered by the patient as well as by the health care team. FDI can affect patients’ health, especially the most susceptible ones. Dietitians should have adequate information on FDIs since this affects dietary management. To the best of the investigators’ knowledge, so far, no studies have evaluated the awareness of dietitians in the field of FDIs. This investigation is the first study on awareness of Jordanian dietitians on FDIs. Awareness is investigated usually by knowledge, attitudes, and practices. A questionnaire was developed to test awareness parameters of Jordanian dietitians regarding FDIs. The questionnaire was validated and tested for reliability. The questionnaire consisted of 4 parts i.e., sociodemographic characteristics, knowledge, attitude, and practice questions. The questionnaire was distributed to a convenient sample of 360 Jordanian dietitians. The questionnaire was valid and had a satisfactory reliability (Cronbach's-alpha value = 0.622). Jordanian dietitians scored between 0 and 36 out of 39. The mean, median, and standard deviation values of awareness were 23.45, 24.00, and 5.468 indicating very good awareness of FDIs by dietitians. The awareness of Jordanian dietitians towards DRIs should be improved by emphasizing this subject within books and magazines, scientific books in medicine, internet, social media, scientific articles, medical representatives, manufacturers websites, as well as dietitians.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126235646","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}
Luis M Lopez-Garcia, A. Bataller-Calatayud, Concha Sanz-Marti, Antonio V Antoli-Frances
The aim of the study is to compare performance of a multivariate bayesian model to estimate Down syndrome (DS) risk from a dataset containing biochemical and ultrasound parameters used in first and second-trimester prenatal screening with current contingent sequential screening strategy in the diagnostic of cases missed in first-trimester screening. Methods: observational study in a retrospective way of collecting data from pregnant women who attended the Lluís Alcanyís, Ribera de Alzira y Verge dels Lliris de Alcoy hospitals in Valencia -Spain- for a period of 10 years (2010-2020). Multivariate normal distributions for affected and unaffected fetuses, specified by the means and the covariance matrix of biochemical and ultrasound parameters were set up. Area under the curve (AUC) of ROC (receiver operating characteristic) for classification of DS missed in first trimester screening was the figure to compare by DeLong test the diagnostic performance of quadratic discriminant analysis from this multivariate Bayesian model to current Naïve-Bayes strategy. Results: no significant differences were found between both strategies. Other than second-trimester biometric variables between them, no relevant correlation between the rest of markers was found. Conclusion: accuracy of other machine learning strategies should be investigated, namely artificial neural network, to improve the identification of first trimester undetected cases.
该研究的目的是比较多变量贝叶斯模型的性能，以估计唐氏综合征(DS)的风险，该模型来自一个包含生化和超声参数的数据集，该数据集用于妊娠早期和中期产前筛查，而当前的随机顺序筛查策略用于诊断妊娠早期筛查中遗漏的病例。方法:观察性研究以回顾性的方式收集在西班牙瓦伦西亚Lluís Alcanyís, Ribera de Alzira y Verge dels Lliris de Alcoy医院就诊的孕妇的数据，为期10年(2010-2020)。建立受影响胎儿和未受影响胎儿的多变量正态分布，由生化和超声参数的均值和协方差矩阵指定。ROC (receiver operating characteristic)曲线下面积(Area under the curve, AUC)为早期妊娠筛查漏诊DS的分类图，通过DeLong检验比较该多元贝叶斯模型与目前Naïve-Bayes策略二次判别分析的诊断性能。结果:两种策略间无显著差异。除中期妊娠生物特征变量外，其余指标间无相关性。结论:应进一步研究其他机器学习策略的准确性，即人工神经网络，以提高对早期妊娠未发现病例的识别。
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