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Path to Advanced Healthcare in the Wake of COVID-19

Lee YS

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Lessons from Temporary Telemedicine Initiated owing to Outbreak of COVID-19

Kim HS

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Qualitative and Quantitative Analysis of Definitions of e-Health and m-Health

Hallberg D, Salimi N

Objectives Skills to employ nursing informatics to promote the health of individuals is of such importance that it is considered a core competence. Although investments are made to increase the use...
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Monitoring Mental Healthcare Services Using Business Analytics

Housbane S, Khoubila A, Ajbal K, Serhier Z, Agoub M, Battas O, Othmani MB

Objectives Monitoring healthcare activities is the first step for health stakeholders and health professionals to improve the quality and performance of healthcare services. However, monitoring remains a challenge for healthcare facilities,...
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Quantified Self-Using Consumer Wearable Device: Predicting Physical and Mental Health

Pardamean , Soeparno H, Budiarto A, Mahesworo , Baurley J

Objectives Recently, wearable device technology has gained more popularity in supporting a healthy lifestyle. Hence, researchers have begun to put significant efforts into studying the direct and indirect benefits of wearable...
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Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning

Jeon E, Kim Y, Park H, Park RW, Shin H, Park HA

Objectives Electronic Health Records (EHRs)-based surveillance systems are being actively developed for detecting adverse drug reactions (ADRs), but this is being hindered by the difficulty of extracting data from unstructured records....
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Doctor Consultation through Mobile Applications in India: An Overview, Challenges and the Way Forward

Agarwal N, Biswas B

Objectives To layout mHealth (mobile health) applications operating in India with the facility of either online doctor consultation or offline doctor appointment booking. Methods A cross-sectional, observational and web-based study was conducted. We...
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Prediction of Serum Creatinine in Hemodialysis Patients Using a Kernel Approach for Longitudinal Data

Amiri MM, Tapak L, Faradmal J, Hosseini J, Roshanaei

Objectives Longitudinal data are prevalent in clinical research; due to their correlated nature, special analysis must be used for this type of data. Creatinine is an important marker in predicting end-stage...
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Effects of a Mobile-App-Based Self-Management Support Program For Elderly Hemodialysis Patients

Min Y, Park M

Objectives To identify the effects of a mobile-app-based self-management program for elderly hemodialysis patients on their sick-role behavior, basic psychological needs, and self-efficacy. Methods A nonequivalent control group with a non-synchronized design was...
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Factors Associated with 5-Year Costs of Care among a Cohort of Alcohol Use Disorder Patients: A Bayesian Network Model

Rautiainen E, Ryynänen O, Laatikainen T, Kekolahti

Objectives To examine the direct effects of risk factors associated with the 5-year costs of care in persons with alcohol use disorder (AUD) and to examine whether remission decreases the costs...
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