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International Journal of Reliable and Quality E-Healthcare最新文献

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Diagnosing COVID-19 from Chest CT Scan Images using Deep Learning Models 利用深度学习模型从胸部CT扫描图像诊断COVID-19
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-04-01 DOI: 10.4018/ijrqeh.299961
Shamik Tiwari
{"title":"Diagnosing COVID-19 from Chest CT Scan Images using Deep Learning Models","authors":"Shamik Tiwari","doi":"10.4018/ijrqeh.299961","DOIUrl":"https://doi.org/10.4018/ijrqeh.299961","url":null,"abstract":"A novel coronavirus named COVID-19 has spread speedily and has triggered a worldwide outbreak of respiratory illness. Early diagnosis is always crucial for pandemic control. Compared to RT-PCR, chest computed tomography (CT) imaging is the more consistent, concrete, and prompt method to identify COVID-19 patients. For clinical diagnostics, the information received from computed tomography scans is critical. So there is a need to develop an image analysis technique for detecting viral epidemics from computed tomography scan pictures. Using DenseNet, ResNet, CapsNet, and 3D-ConvNet, four deep machine learning-based architectures have been proposed for COVID-19 diagnosis from chest computed tomography scans. From the experimental results, it is found that all the architectures are providing effective accuracy, of which the COVID-DNet model has reached the highest accuracy of 99%. Proposed architectures are accessible at https://github.com/shamiktiwari/CTscanCovi19 can be utilized to support radiologists and reserachers in validating their initial screening.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48546639","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}
引用次数: 1
An Extensive Survey on Blockchain-Based Electronic Health Record System 基于区块链的电子健康档案系统的广泛调查
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-04-01 DOI: 10.4018/ijrqeh.299960
Prahlad Kumar
{"title":"An Extensive Survey on Blockchain-Based Electronic Health Record System","authors":"Prahlad Kumar","doi":"10.4018/ijrqeh.299960","DOIUrl":"https://doi.org/10.4018/ijrqeh.299960","url":null,"abstract":"Healthcare systems around the world are beset by problems due to the lack of effective communication. Significant problems relating to patient medical records access, transition, and storage have persisted due to the lack of resources to adequately interact and track records between all main participants. To overcome this challenge, a nationwide Electronic Health Record (EHR) solution may be utilized. To further enhance EHR efficiency, Blockchain technology can be used to improve security, performance, and cost. In this survey, various literature proposing Blockchain-based EHR systems are discussed, along with their benefits and potential research gaps. Also Authors proposed a comprehensive architecture that could bridge all the gaps.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":"304 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41273408","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}
引用次数: 0
Patient-Controlled Mechanism Using Pseudonymization Technique for Ensuring the Security and Privacy of Electronic Health Records 利用假名技术确保电子病历安全和隐私的患者控制机制
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-01-01 DOI: 10.4018/ijrqeh.297076
Bipin Kumar Rai
{"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":" ","pages":""},"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}
引用次数: 8
Impact of Meditation on Quality of Life of Employees 冥想对员工生活质量的影响
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-01-01 DOI: 10.4018/ijrqeh.305843
S. Sagar, R. Rastogi, Vikas Garg, I. Basavaraddi
{"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":" ","pages":""},"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}
引用次数: 1
Machine Learning Applied to Health Information Exchange 机器学习在健康信息交流中的应用
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-01-01 DOI: 10.4018/ijrqeh.298634
{"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":" ","pages":""},"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}
引用次数: 1
The Moderating Effect of Demographics on Patient Adherence and Beliefs 人口学对患者依从性和信念的调节作用
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-01-01 DOI: 10.4018/ijrqeh.298629
Saibal Kumar Saha
{"title":"The Moderating Effect of Demographics on Patient Adherence and Beliefs","authors":"Saibal Kumar Saha","doi":"10.4018/ijrqeh.298629","DOIUrl":"https://doi.org/10.4018/ijrqeh.298629","url":null,"abstract":"Medication adherence is a complex behavior, and interventions are often used for increasing the adherence of patients. Demographic characteristics are essential for any research. This study tries to find the mediating effect of selected demographic factors on patient adherence and beliefs. The study is empirical and tries to highlight the difference in adherence and beliefs of the patient in the state of Sikkim in India based on gender, place of dwelling, education level and income of the patients. It was found that medication adherence and beliefs of patients significantly differ based on their demographic characteristics. The importance given to the physician instruction varies mainly based on the gender and dwelling location of the patients. Patients who fall into the category of retired servicemen/women are more adherent than others. Income also plays an essential role in adherence. Gender differences occur for exercising behavior of patients, and education level affects the beliefs of patients, which they have towards themselves and for their responsibilities.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46239477","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}
引用次数: 0
The Role of Machine Learning and Artificial Intelligence in Clinical Decisions and the Herbal Formulations Against COVID-19 机器学习和人工智能在临床决策和抗COVID-19草药配方中的作用
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-01-01 DOI: 10.4018/ijrqeh.298635
Anita Venaik, R. Kumari, Utkarsh Venaik, A. Nayyar
{"title":"The Role of Machine Learning and Artificial Intelligence in Clinical Decisions and the Herbal Formulations Against COVID-19","authors":"Anita Venaik, R. Kumari, Utkarsh Venaik, A. Nayyar","doi":"10.4018/ijrqeh.298635","DOIUrl":"https://doi.org/10.4018/ijrqeh.298635","url":null,"abstract":"COVID-19 causes global health problems, and new technologies have to be established to detect, anticipate, diagnose, screen, and even trace COVID-19 by all health care experts. Several database searches are carried out in this literature-based study on machine learning (ML), artificial intelligence, computer-based molecular docking analysis (CBMDA), COVID-19, and herbal docking analysis. In the battle against different infectious diseases, ML, AI and CBMDA's past supporting data are involved. These devices have now been updated with advanced features and are part of the SARS-CoV-2 screening, prediction, diagnosis, contact tracing, and drug/vaccine production healthcare industries. This article aims to comprehensively analyse the essential role of ML and AI, and CBMDA in the screening, prediction, contact tracing, and production of herbal drugs for this virus and its associated epidemic.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45586489","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}
引用次数: 1
The Prediction of Diabetes 糖尿病的预测
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-01-01 DOI: 10.1016/0753-3322(96)82582-0
R. Leslie
{"title":"The Prediction of Diabetes","authors":"R. Leslie","doi":"10.1016/0753-3322(96)82582-0","DOIUrl":"https://doi.org/10.1016/0753-3322(96)82582-0","url":null,"abstract":"","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0753-3322(96)82582-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43656267","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}
引用次数: 11
An Improved Face-Emotion Recognition to Automatically Generate Human Expression With Emoticons 一种改进的人脸情绪识别方法，可自动生成带有表情的人脸表情
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-01-01 DOI: 10.4018/ijrqeh.314945
B. Mallikarjuna, M. S. Ram, Supriya Addanke
{"title":"An Improved Face-Emotion Recognition to Automatically Generate Human Expression With Emoticons","authors":"B. Mallikarjuna, M. S. Ram, Supriya Addanke","doi":"10.4018/ijrqeh.314945","DOIUrl":"https://doi.org/10.4018/ijrqeh.314945","url":null,"abstract":"Any human face image expression naturally identifies expressions of happy, sad etc.; sometimes human facial image expression recognition is complex, and it is a combination of two emotions. The existing literature provides face emotion classification and image recognition, and the study on deep learning using convolutional neural networks (CNN), provides face emotion recognition most useful for healthcare and with the most complex of the existing algorithms. This paper improves the human face emotion recognition and provides feelings of interest for others to generate emoticons on their smartphone. Face emotion recognition plays a major role by using convolutional neural networks in the area of deep learning and artificial intelligence for healthcare services. Automatic facial emotion recognition consists of two methods, such as face detection with Ada boost classifier algorithm and emotional classification, which consists of feature extraction by using deep learning methods such as CNN to identify the seven emotions to generate emoticons.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":"127 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41312389","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}
引用次数: 0
Smart Healthcare Security Device on Medical IoT Using Raspberry Pi 使用树莓派的医疗物联网智能医疗安全设备
International Journal of Reliable and Quality E-Healthcare Pub Date : 2022-01-01 DOI: 10.4018/ijrqeh.289177
Sudhakar Sengan, O. Khalaf, Priyadarsini S., D. Sharma, Amarendra K., A. A. Hamad
{"title":"Smart Healthcare Security Device on Medical IoT Using Raspberry Pi","authors":"Sudhakar Sengan, O. Khalaf, Priyadarsini S., D. Sharma, Amarendra K., A. A. Hamad","doi":"10.4018/ijrqeh.289177","DOIUrl":"https://doi.org/10.4018/ijrqeh.289177","url":null,"abstract":"This paper aims to improve the protection of two-wheelers. This study is divided into two parts: a helmet unit and a vehicle unit. The primary unit is the helmet unit, which contains a sensor, and the second part is known as the alcohol sensor, which is used to determine whether or not the driver is wearing the user helmet correctly. This data is then transmitted to the vehicle unit via the RF transmitter. The data is encoded with the aid of an encoder. Suppose the alcohol sensor senses that the driver is intoxicated. In that case, the IoT-based Raspberry Pi micro-controller passes the data to the vehicle unit via the RF transmitter, which immediately stops the vehicle from using the Driver circuit to control the relay. To stop the consumption of alcohol, the vehicles would be tracked daily. If the individual driving the vehicle is under the influence of alcohol while driving, the buzzer will automatically trigger. The vehicle key will be switched off.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70461190","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}
引用次数: 34
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