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A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

Ji Won Min, Jae-Hong Min, Se-Hyun Chang, Byung Ha Chung, Eun Sil Koh, Young Soo Kim, Hyung Wook Kim, Tae Hyun Ban, Seok Joon Shin, In Young Choi, Hye Eun Yoon

J Med Internet Res 2025;27:e62853

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Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

Demographic characteristics of participants. a The exchange rate calculation is based on the initial data analysis period of June-July 2023, and US $1 was calculated as 1300 won. Table 3 presents the impact of walking activity on body measurements, blood sugar levels, and body composition for 2 groups: the AWG and IWG. HDL cholesterol and triglyceride levels showed statistically significant differences between baseline and 6 months for both the AWG and the IWG.

Yae Won Tak, Junetae Kim, Haekwon Chung, Sae Byul Lee, In Ja Park, Sei Won Lee, Min-Woo Jo, Jong Won Lee, Seunghee Baek, Yura Lee

J Med Internet Res 2025;27:e52694

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Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data

Loubna Baroudi, Ronald Fredrick Zernicke, Muneesh Tewari, Noelle E Carlozzi, Sung Won Choi, Stephen M Cain

JMIR Mhealth Uhealth 2025;13:e46149

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Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review

evaluation, risk of bias (ROB), and concern of applicability (COA). a AUROC: area under the receiver operating characteristic curve. b CNN: convolutional neural network. c GRU: gated recurrent unit. d LSTM: long short-term memory. e RNN: recurrent neural network. f MCC: Matthews correlation coefficient. g COPD: chronic obstructive pulmonary disease. h AUC: area under the curve. i CVD: cardiovascular disease. j AUPRC: area under the precision-recall curve. k GNN: graph neural network. l MCI: mild cognitive impairment. m RNN-DAE

Tuankasfee Hama, Mohanad M Alsaleh, Freya Allery, Jung Won Choi, Christopher Tomlinson, Honghan Wu, Alvina Lai, Nikolas Pontikos, Johan H Thygesen