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Trends and Gaps in Digital Precision Hypertension Management: Scoping Review

Namuun Clifford, Rachel Tunis, Adetimilehin Ariyo, Haoxiang Yu, Hyekyun Rhee, Kavita Radhakrishnan

J Med Internet Res 2025;27:e59841

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Longitudinal Model Shifts of Machine Learning–Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals

Patricia Cabanillas Silva, Hong Sun, Mohamed Rezk, Diana M Roccaro-Waldmeyer, Janis Fliegenschmidt, Nikolai Hulde, Vera von Dossow, Laurent Meesseman, Kristof Depraetere, Joerg Stieg, Ralph Szymanowsky, Fried-Michael Dahlweid

J Med Internet Res 2024;26:e51409

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Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review

Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, Stéphane Potvin, Alexandre Dumais

JMIR Bioinform Biotech 2024;5:e62752

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Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data

I S van Maurik, H J Doodeman, B W Veeger-Nuijens, R P M Möhringer, D R Sudiono, W Jongbloed, E van Soelen

JMIR Med Inform 2024;12:e57035

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Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review

Eunkyung Han, Hadi Kharrazi, Leiyu Shi

JMIR Aging 2023;6:e42437

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Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation

William Klement, Khaled El Emam

J Med Internet Res 2023;25:e48763

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Data Quality Degradation on Prediction Models Generated From Continuous Activity and Heart Rate Monitoring: Exploratory Analysis Using Simulation

Jason Hearn, Jef Van den Eynde, Bhargava Chinni, Ari Cedars, Danielle Gottlieb Sen, Shelby Kutty, Cedric Manlhiot

JMIR Cardio 2023;7:e40524

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Machine Learning–Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Development Study

Mukkesh Kumar, Li Ting Ang, Cindy Ho, Shu E Soh, Kok Hian Tan, Jerry Kok Yen Chan, Keith M Godfrey, Shiao-Yng Chan, Yap Seng Chong, Johan G Eriksson, Mengling Feng, Neerja Karnani

JMIR Diabetes 2022;7(3):e32366

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Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education

Yusuf Yilmaz, Alma Jurado Nunez, Ali Ariaeinejad, Mark Lee, Jonathan Sherbino, Teresa M Chan

JMIR Med Educ 2022;8(2):e30537

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Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non–Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study

Danqing Hu, Shaolei Li, Huanyao Zhang, Nan Wu, Xudong Lu

JMIR Med Inform 2022;10(4):e35475

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