Diabetes is a rapidly spreading disease. When the pancreas produces insufficient insulin or the body cannot utilise it effectively. Diabetic Retinopathy (DR) and blindness are two major issues for diabetics. Diabetes patients increase the amount of data collected about DR. To extract important information and undiscovered knowledge from data, data mining techniques are required. DM is necessary in DR to improve society's health. Our study focuses on the early detection of Diabetic Retinopathy using patient information. DM approaches are used to extract information from these numeric records. The dataset was used to forecast DR using logistic regression, KNN, SVM, bagged tree, and boosted tree classifiers. Two cross-validations are used to find the best features and avoid overfitting. Our dataset includes 900 diabetes patients. The boosted tree produced the best classification accuracy (90.1%) with 10% hold-out validation. KNN also achieved 88.9% accuracy, which is impressive. As a result, our research suggests that bagged trees and KNN are good classifiers for DR.
{"title":"Prediction of Diabetic Retinopathy Using Health Records with Machine Learning Classifiers and Data Science","authors":"B. Sumathy","doi":"10.4018/ijrqeh.299959","DOIUrl":"https://doi.org/10.4018/ijrqeh.299959","url":null,"abstract":"Diabetes is a rapidly spreading disease. When the pancreas produces insufficient insulin or the body cannot utilise it effectively. Diabetic Retinopathy (DR) and blindness are two major issues for diabetics. Diabetes patients increase the amount of data collected about DR. To extract important information and undiscovered knowledge from data, data mining techniques are required. DM is necessary in DR to improve society's health. Our study focuses on the early detection of Diabetic Retinopathy using patient information. DM approaches are used to extract information from these numeric records. The dataset was used to forecast DR using logistic regression, KNN, SVM, bagged tree, and boosted tree classifiers. Two cross-validations are used to find the best features and avoid overfitting. Our dataset includes 900 diabetes patients. The boosted tree produced the best classification accuracy (90.1%) with 10% hold-out validation. KNN also achieved 88.9% accuracy, which is impressive. As a result, our research suggests that bagged trees and KNN are good classifiers for DR.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48883216","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}
Physicians are directly responsible for the treatment of patients. They affect patient's behaviour and beliefs. Their point of view with respect to medication adherence behaviour of patients is crucial for getting insights into the cause and effect relationship of factors of medication non-adherence. This paper tries to find the cause and effect relationship of seven factors based on physicians' perspective. With the help of paired comparison method, the expert belief of 30 physicians was captured using a structured questionnaire. DEMATEL analysis was done to find the cause and effect relationship between different factors. 'Belief that medication adherence is not important' emerged as the most important factor for medication non-adherence. If patients' beliefs can be modified through intervention, their behaviour may be altered, improving medication adherence rates.
{"title":"DEMATEL Analysis of Medication Non-Adherence Behavior of Patients","authors":"Saibal Kumar Saha","doi":"10.4018/ijrqeh.295081","DOIUrl":"https://doi.org/10.4018/ijrqeh.295081","url":null,"abstract":"Physicians are directly responsible for the treatment of patients. They affect patient's behaviour and beliefs. Their point of view with respect to medication adherence behaviour of patients is crucial for getting insights into the cause and effect relationship of factors of medication non-adherence. This paper tries to find the cause and effect relationship of seven factors based on physicians' perspective. With the help of paired comparison method, the expert belief of 30 physicians was captured using a structured questionnaire. DEMATEL analysis was done to find the cause and effect relationship between different factors. 'Belief that medication adherence is not important' emerged as the most important factor for medication non-adherence. If patients' beliefs can be modified through intervention, their behaviour may be altered, improving medication adherence rates.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47804315","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}
Athanasios Anastasiou, Angeliki Nikaki, Stavros Pitoglou, Y. Koumpouros
The paper presents the design approach of a low power stretchable wearable epidermal electronic device as part of an advanced athlete performance management framework to perform multi-parametric, multi-modal measurements of vital physiological parameters through the skin and via sweat analysis. It can be used to seamlessly monitor athletes, to prevent serious health complications and injuries during training, sudden death and complications related to overtraining. The proposed framework allows real-time physiological monitoring, tracking, prediction and quantification of athletic performance and estimation of recovery time after an injury, an illness or the overtraining syndrome. It is based on low-cost and clean room-based fabrication techniques and interconnects and readout electronics based on commercially available off-the-shelf components and application-specific integrated circuits. A data analytics platform incorporates real-time monitoring to identify the susceptibility to sudden death, health complications or injury, for the athlete, executing a personalized prediction model
{"title":"Proposed Design and Assessment Methodology of a Wearable Device for Prevention and Performance Evaluation of Athletes","authors":"Athanasios Anastasiou, Angeliki Nikaki, Stavros Pitoglou, Y. Koumpouros","doi":"10.4018/ijrqeh.297089","DOIUrl":"https://doi.org/10.4018/ijrqeh.297089","url":null,"abstract":"The paper presents the design approach of a low power stretchable wearable epidermal electronic device as part of an advanced athlete performance management framework to perform multi-parametric, multi-modal measurements of vital physiological parameters through the skin and via sweat analysis. It can be used to seamlessly monitor athletes, to prevent serious health complications and injuries during training, sudden death and complications related to overtraining. The proposed framework allows real-time physiological monitoring, tracking, prediction and quantification of athletic performance and estimation of recovery time after an injury, an illness or the overtraining syndrome. It is based on low-cost and clean room-based fabrication techniques and interconnects and readout electronics based on commercially available off-the-shelf components and application-specific integrated circuits. A data analytics platform incorporates real-time monitoring to identify the susceptibility to sudden death, health complications or injury, for the athlete, executing a personalized prediction model","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41785929","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}
Autism spectrum disorder and cerebral palsy are called developmental disorders that affect the brain development, communication, and behaviour of a child or an adult. Individuals with Cerebral palsy can also display symptoms of autism. Both conditions have varying degrees of severity, which can make it difficult to form a clear diagnosis. This research paper proposes the model-free green environment for the prediction of the above-mentioned disorders by doing gait analysis only with the camera. The new intelligent algorithm CAGLearner (cognitive analysis for gait) works on the standards of graphical extreme machines. CAGLearner uses the new powerful algorithm called bat optimized ELM for classification, which is then related with the prevailing machine learning algorithms such as artificial neural networks (ANN), support vector machines (SVM), and random forest (RF) algorithms in which the accuracy, sensitivity, and response time were analyzed. In terms of prediction time and precision, the model provided in this paper also yields more benefits.
{"title":"Cognitive Human Gait Analysis for Neuro-Physically Challenged Patients by Bat Optimization Algorithm","authors":"A. Saranya, Anandan R.","doi":"10.4018/ijrqeh.313915","DOIUrl":"https://doi.org/10.4018/ijrqeh.313915","url":null,"abstract":"Autism spectrum disorder and cerebral palsy are called developmental disorders that affect the brain development, communication, and behaviour of a child or an adult. Individuals with Cerebral palsy can also display symptoms of autism. Both conditions have varying degrees of severity, which can make it difficult to form a clear diagnosis. This research paper proposes the model-free green environment for the prediction of the above-mentioned disorders by doing gait analysis only with the camera. The new intelligent algorithm CAGLearner (cognitive analysis for gait) works on the standards of graphical extreme machines. CAGLearner uses the new powerful algorithm called bat optimized ELM for classification, which is then related with the prevailing machine learning algorithms such as artificial neural networks (ANN), support vector machines (SVM), and random forest (RF) algorithms in which the accuracy, sensitivity, and response time were analyzed. In terms of prediction time and precision, the model provided in this paper also yields more benefits.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46207973","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}
Emergence of big data in today’s world leads to new challenges for sorting strategies to analyze the data in a better way. For most of the analyzing technique, sorting is considered as an implicit attribute of the technique used. The availability of huge data has changed the way data is analyzed across industries. Healthcare is one of the notable areas where data analytics is making big changes. An efficient analysis has the potential to reduce costs of treatment and improve the quality of life in general. Healthcare industries are collecting massive amounts of data and look for the best strategies to use these numbers. This research proposes a novel non-comparison based approach to sort a large data that can further be utilized by any big data analytical technique for various analyses.
{"title":"The Novel Multi-layered Approach to Enhance Sorting Performance of Healthcare Analysis","authors":"A. Seth","doi":"10.4018/ijrqeh.289178","DOIUrl":"https://doi.org/10.4018/ijrqeh.289178","url":null,"abstract":"Emergence of big data in today’s world leads to new challenges for sorting strategies to analyze the data in a better way. For most of the analyzing technique, sorting is considered as an implicit attribute of the technique used. The availability of huge data has changed the way data is analyzed across industries. Healthcare is one of the notable areas where data analytics is making big changes. An efficient analysis has the potential to reduce costs of treatment and improve the quality of life in general. Healthcare industries are collecting massive amounts of data and look for the best strategies to use these numbers. This research proposes a novel non-comparison based approach to sort a large data that can further be utilized by any big data analytical technique for various analyses.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70461232","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}
An Internet-based Electronic Health Record (EHR) system allows patients to access their medical history whenever they need it. Access to patient records and transactions related to diagnosis is helpful to patients and the health care department and executives. But this practice may lead to major privacy concerns of patients' private data. For EHR adaptation, the major elements are laws and regulations, monetary inducement and hurdles, technology state, and corporation effect. In this paper, I have proposed a Patient Controlled mechanism using the pseudonymization technique for ensuring the security and privacy of Electronic Health records. It is found that most of the potential approaches have used pseudonymization techniques to deal with the issues involved in a healthcare information system. This proposed solution is simple and efficiently ensures the privacy of patient data. Comparative analysis with other existing approaches has been undertaken.
{"title":"Patient-Controlled Mechanism Using Pseudonymization Technique for Ensuring the Security and Privacy of Electronic Health Records","authors":"Bipin Kumar Rai","doi":"10.4018/ijrqeh.297076","DOIUrl":"https://doi.org/10.4018/ijrqeh.297076","url":null,"abstract":"An Internet-based Electronic Health Record (EHR) system allows patients to access their medical history whenever they need it. Access to patient records and transactions related to diagnosis is helpful to patients and the health care department and executives. But this practice may lead to major privacy concerns of patients' private data. For EHR adaptation, the major elements are laws and regulations, monetary inducement and hurdles, technology state, and corporation effect. In this paper, I have proposed a Patient Controlled mechanism using the pseudonymization technique for ensuring the security and privacy of Electronic Health records. It is found that most of the potential approaches have used pseudonymization techniques to deal with the issues involved in a healthcare information system. This proposed solution is simple and efficiently ensures the privacy of patient data. Comparative analysis with other existing approaches has been undertaken.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46497103","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 article presents a conceptual and empirical research study with future scope for wellness programs for organizational health promotion and mental well-being. The study focuses on virtual programs on meditation or mindfulness integrated with artificial intelligence (AI). That adds to the literature, which is relatively minor on this subject. Meditation can be a powerful organizational resource to improve employee efficiency, emotional stability, well-being, and stress. Young engineers of middle-hierarchy employed at PPS International, Greater Noida, Uttar Pradesh, India (n=30), all males, were given an eight-week meditation intervention. The experimental group showed significant and influential improvements over control-group participants of the World Health Organization (WHO)-issued quality-of-life scale. The different domains studied were perception, physical health, psychological health, social relationships, and environment.
{"title":"Impact of Meditation on Quality of Life of Employees","authors":"S. Sagar, R. Rastogi, Vikas Garg, I. Basavaraddi","doi":"10.4018/ijrqeh.305843","DOIUrl":"https://doi.org/10.4018/ijrqeh.305843","url":null,"abstract":"The article presents a conceptual and empirical research study with future scope for wellness programs for organizational health promotion and mental well-being. The study focuses on virtual programs on meditation or mindfulness integrated with artificial intelligence (AI). That adds to the literature, which is relatively minor on this subject. Meditation can be a powerful organizational resource to improve employee efficiency, emotional stability, well-being, and stress. Young engineers of middle-hierarchy employed at PPS International, Greater Noida, Uttar Pradesh, India (n=30), all males, were given an eight-week meditation intervention. The experimental group showed significant and influential improvements over control-group participants of the World Health Organization (WHO)-issued quality-of-life scale. The different domains studied were perception, physical health, psychological health, social relationships, and environment.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49268370","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 interest in Artificial Intelligence (AI) has grown in the last few years. The healthcare community is no exception. The present work is focused on the exchange of medical information, using the Health Level Seven (HL7) international standards. The main objective of the present work is to develop an AI model capable of inferring if for a given hour exists a peak in the number of exchanged messages. To accomplish that two different deep learning models were created, an Artificial Neural Networks (ANN) and Long-short Term Memory (LSTM). The intention is to observe which is capable to perceive the situation better considering the environment and features of a healthcare facility. Using laboratory-generated data was possible to simulate variations and differences in “traffic”. Comparing the LSTM vs ANN model, the first is capable of outputting peaks better but for considered mean values that do not happen. For the given context, predicting the peak is essential, so the LSTM is the right choice and uses fewer features that are good regarding performance.
{"title":"Machine Learning Applied to Health Information Exchange","authors":"","doi":"10.4018/ijrqeh.298634","DOIUrl":"https://doi.org/10.4018/ijrqeh.298634","url":null,"abstract":"The interest in Artificial Intelligence (AI) has grown in the last few years. The healthcare community is no exception. The present work is focused on the exchange of medical information, using the Health Level Seven (HL7) international standards. The main objective of the present work is to develop an AI model capable of inferring if for a given hour exists a peak in the number of exchanged messages. To accomplish that two different deep learning models were created, an Artificial Neural Networks (ANN) and Long-short Term Memory (LSTM). The intention is to observe which is capable to perceive the situation better considering the environment and features of a healthcare facility. Using laboratory-generated data was possible to simulate variations and differences in “traffic”. Comparing the LSTM vs ANN model, the first is capable of outputting peaks better but for considered mean values that do not happen. For the given context, predicting the peak is essential, so the LSTM is the right choice and uses fewer features that are good regarding performance.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49310935","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 research paper is an initiative to provide insight intothe health and quality of life(QoL) benefits of Yoga.The investigation aims to study the ancient therapy for de-stressing occupational stress and improving employees' quality of life by examining the intervention of yoga exercise on physiological health and quality of life (QoL). To find the impact of Yoga and light aerobic exercise on the flexibility of the body muscles and quality of life intervention of Yoga, light aerobic exercise was conductedon employees of PPS International atGreater Noida (Uttar Pradesh), India, a Manufacturer of High-Tech Equipment for Indian Railway & Metro Trains &related Industries. After seeking permission for the study from the founderand promoter, theresearcher's team randomly selected 120subjects of age group 35-45years, all males. To establish the result, a computational analysis of the recorded datawas done. The t-testwas applied to analyse descriptive statistics, pre-test post-test, mean scores, and standard deviation of 3 different groups with N=40 in each group.
{"title":"Computational Analysis of the Impact of Yoga on QoL and Body Flexibility","authors":"S. Sagar, V. Garg, R. Rastogi","doi":"10.4018/ijrqeh.295084","DOIUrl":"https://doi.org/10.4018/ijrqeh.295084","url":null,"abstract":"This research paper is an initiative to provide insight intothe health and quality of life(QoL) benefits of Yoga.The investigation aims to study the ancient therapy for de-stressing occupational stress and improving employees' quality of life by examining the intervention of yoga exercise on physiological health and quality of life (QoL). To find the impact of Yoga and light aerobic exercise on the flexibility of the body muscles and quality of life intervention of Yoga, light aerobic exercise was conductedon employees of PPS International atGreater Noida (Uttar Pradesh), India, a Manufacturer of High-Tech Equipment for Indian Railway & Metro Trains &related Industries. After seeking permission for the study from the founderand promoter, theresearcher's team randomly selected 120subjects of age group 35-45years, all males. To establish the result, a computational analysis of the recorded datawas done. The t-testwas applied to analyse descriptive statistics, pre-test post-test, mean scores, and standard deviation of 3 different groups with N=40 in each group.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46332145","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}
Dental impressions are an important part of routine diagnostic and therapeutic dental procedures. Using conventional impression materials, the dentist captures intraoral details, and the dental technician uses impression for dental casts pouring. Intraoral scanners (IOS) are fast, accurate and more pleasant for a patient than conventional impression techniques and became a valid alternative to those procedures. Thirty-four dental students performed alginate and digital impressions on each other and filled two two-part questionnaires to reveal their preferences and expectations from both techniques. The results showed a statistically significant difference in time needed for digital and conventional impressions, with digital being faster. From the patient's perspective, the digital scan was more pleasant than the conventional impression. The majority of participants thought digital techniques would completely replace conventional techniques during their lifetime and find it necessary to implement new technologies in dental schools' curricula.
{"title":"Conventional vs. Digital Dental Impression","authors":"","doi":"10.4018/ijrqeh.298631","DOIUrl":"https://doi.org/10.4018/ijrqeh.298631","url":null,"abstract":"Dental impressions are an important part of routine diagnostic and therapeutic dental procedures. Using conventional impression materials, the dentist captures intraoral details, and the dental technician uses impression for dental casts pouring. Intraoral scanners (IOS) are fast, accurate and more pleasant for a patient than conventional impression techniques and became a valid alternative to those procedures. Thirty-four dental students performed alginate and digital impressions on each other and filled two two-part questionnaires to reveal their preferences and expectations from both techniques. The results showed a statistically significant difference in time needed for digital and conventional impressions, with digital being faster. From the patient's perspective, the digital scan was more pleasant than the conventional impression. The majority of participants thought digital techniques would completely replace conventional techniques during their lifetime and find it necessary to implement new technologies in dental schools' curricula.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45245329","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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