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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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Automated Detection of Neurodevelopmental Disorders Using Face-to-Face Mobile Technology Among Typically Developing Greek Children: Randomized Controlled Trial

Eugenia I Toki, Victoria Zakopoulou, Giorgos Tatsis, Jenny Pange

JMIR Form Res 2024;8:e53465

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Automated Identification of Postoperative Infections to Allow Prediction and Surveillance Based on Electronic Health Record Data: Scoping Review

Siri Lise van der Meijden, Anna M van Boekel, Harry van Goor, Rob GHH Nelissen, Jan W Schoones, Ewout W Steyerberg, Bart F Geerts, Mark GJ de Boer, M Sesmu Arbous

JMIR Med Inform 2024;12:e57195

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Remote Patient Monitoring and Machine Learning in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Dual Systematic Literature Review and Narrative Synthesis

Henry Mark Granger Glyde, Caitlin Morgan, Tom M A Wilkinson, Ian T Nabney, James W Dodd

J Med Internet Res 2024;26:e52143

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Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study

Zachary Butzin-Dozier, Yunwen Ji, Haodong Li, Jeremy Coyle, Junming Shi, Rachael V Phillips, Andrew N Mertens, Romain Pirracchio, Mark J van der Laan, Rena C Patel, John M Colford, Alan E Hubbard, The National COVID Cohort Collaborative (N3C) Consortium

JMIR Public Health Surveill 2024;10:e53322

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Predictive Data Analytics in Telecare and Telehealth: Systematic Scoping Review

Euan Anderson, Marilyn Lennon, Kimberley Kavanagh, Natalie Weir, David Kernaghan, Marc Roper, Emma Dunlop, Linda Lapp

Online J Public Health Inform 2024;16:e57618

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Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?

Abigail Ortiz, Benoit H Mulsant

J Med Internet Res 2024;26:e59826

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An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study

Ayman Hassan, Rachid Benlamri, Trina Diner, Keli Cristofaro, Lucas Dillistone, Hajar Khallouki, Mahvareh Ahghari, Shalyn Littlefield, Rabail Siddiqui, Russell MacDonald, David W Savage

JMIR Form Res 2024;8:e54009

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Identifying Predictors of Heart Failure Readmission in Patients From a Statutory Health Insurance Database: Retrospective Machine Learning Study

Rebecca T Levinson, Cinara Paul, Andreas D Meid, Jobst-Hendrik Schultz, Beate Wild

JMIR Cardio 2024;8:e54994

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Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review

Rawan AlSaad, Alaa Abd-alrazaq, Fadi Choucair, Arfan Ahmed, Sarah Aziz, Javaid Sheikh

J Med Internet Res 2024;26:e53396

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