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Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study

The training dataset comprised patients from Wan Fang Hospital only, whereas the validation set comprised patients from TMU Hospital.

Yu-Jiun Lin, Ray-Jade Chen, Jui-Hsiang Tang, Cheng-Sheng Yu, Jenny L Wu, Li-Chuan Chen, Shy-Shin Chang

JMIR Med Inform 2020;8(10):e24305

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How High-Risk Comorbidities Co-Occur in Readmitted Patients With Hip Fracture: Big Data Visual Analytical Approach

Suresh K Bhavnani, Bryant Dang, Rebekah Penton, Shyam Visweswaran, Kevin E Bassler, Tianlong Chen, Mukaila Raji, Rohit Divekar, Raed Zuhour, Amol Karmarkar, Yong-Fang Kuo, Kenneth J Ottenbacher

JMIR Med Inform 2020;8(10):e13567

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Implementation and Effectiveness of a Bar Code–Based Transfusion Management System for Transfusion Safety in a Tertiary Hospital: Retrospective Quality Improvement Study

Shin-Shang Chou, Ying-Ju Chen, Yu-Te Shen, Hsiu-Fang Yen, Shu-Chen Kuo

JMIR Med Inform 2019;7(3):e14192

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Perspectives on Acceptance and Use of a Mobile Health Intervention for the Prevention of Atherosclerotic Cardiovascular Disease in Singapore: Mixed-Methods Study

As Yong Liat reported:I can’t forget. Every time I put it on top, and I write down there. So I know. People don’t need to tell me.

Victoria Haldane, Yao Guo Tan, Krichelle Wei Qi Teo, Joel Jun Kai Koh, Aastha Srivastava, Rui Xiang Cheng, Yi Cheng Yap, Pei-Shi Ong, Rob M van Dam, Jie Min Foo, Falk Müller-Riemenschneider, Gerald Choon-Huat Koh, Pablo Perel, Helena Legido-Quigley

JMIR Mhealth Uhealth 2019;7(3):e11108

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Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study

Juan Carlos Quiroz, Elena Geangu, Min Hooi Yong

JMIR Ment Health 2018;5(3):e10153

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The Challenges of COVID-19 for People Living With Diabetes: Considerations for Digital Health

Fang et al [16] proposed that the expression of ACE2 is substantially increased in people managing their diabetes with ACE inhibitors and antihyperglycemic angiotensin II type-I receptor blockers [17].

Anissa Gamble, Quynh Pham, Shivani Goyal, Joseph A Cafazzo

JMIR Diabetes 2020;5(2):e19581

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A Deep-Learning Algorithm (ECG12Net) for Detecting Hypokalemia and Hyperkalemia by Electrocardiography: Algorithm Development

Chin-Sheng Lin, Chin Lin, Wen-Hui Fang, Chia-Jung Hsu, Sy-Jou Chen, Kuo-Hua Huang, Wei-Shiang Lin, Chien-Sung Tsai, Chih-Chun Kuo, Tom Chau, Stephen JH Yang, Shih-Hua Lin

JMIR Med Inform 2020;8(3):e15931

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A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development

Yi-Ying Wu, Tzu-Chuan Huang, Ren-Hua Ye, Wen-Hui Fang, Shiue-Wei Lai, Ping-Ying Chang, Wei-Nung Liu, Tai-Yu Kuo, Cho-Hao Lee, Wen-Chiuan Tsai, Chin Lin

JMIR Med Inform 2020;8(4):e15963

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Opportunities and Challenges of Cloud Computing to Improve Health Care Services

In addition, Kuo et al [83] propose an XML-based mediator to conquer data lock-in problems.Table 2Potential solutions to the cloud computing challengesChallengesResourcesSolution SummaryManagement and technical issuesArmbrust et al [51]Ten solutions to handle

Mu-Hsing Kuo

J Med Internet Res 2011;13(3):e67

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Deep Learning–Based Detection of Early Renal Function Impairment Using Retinal Fundus Images: Model Development and Validation

Kuo et al [26] developed a deep learning model for predicting renal function by using kidney ultrasound images.

Eugene Yu-Chuan Kang, Yi-Ting Hsieh, Chien-Hung Li, Yi-Jin Huang, Chang-Fu Kuo, Je-Ho Kang, Kuan-Jen Chen, Chi-Chun Lai, Wei-Chi Wu, Yih-Shiou Hwang

JMIR Med Inform 2020;8(11):e23472

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