Decision Support for Health Professionals

Predicting the Risk of Sleep Disorders Using a Machine Learning–Based Simple Questionnaire: Development and Validation Study

Seokmin Ha, Su Jung Choi, Sujin Lee, Reinatt Hansel Wijaya, Jee Hyun Kim, Eun Yeon Joo, Jae Kyoung Kim

J Med Internet Res 2023 (Sep 21); 25:e46520

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Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Sabrina M Wang, H D Jeffry Hogg, Devdutta Sangvai, Manesh R Patel, E Hope Weissler, Katherine C Kellogg, William Ratliff, Suresh Balu, Mark Sendak

JMIR Form Res 2023 (Sep 21); 7:e43963

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Differing Behaviors Around Adult Nonmedical Use of Prescription Stimulants and Opioids: Latent Class Analysis

Karilynn M Rockhill, Richard Olson, Richard C Dart, Janetta L Iwanicki, Joshua C Black

J Med Internet Res 2023 (Sep 20); 25:e46742

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Virtual Standardized Patients Versus Traditional Academic Training for Improving Clinical Competence Among Traditional Chinese Medicine Students: Prospective Randomized Controlled Trial

Han Yang, Xiang Xiao, Xuanyu Wu, Xiaoxu Fu, Quanyu Du, Yan Luo, Bin Li, Jinhao Zeng, Yi Zhang

J Med Internet Res 2023 (Sep 20); 25:e43763

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Analyzing and Forecasting Pediatric Fever Clinic Visits in High Frequency Using Ensemble Time-Series Methods After the COVID-19 Pandemic in Hangzhou, China: Retrospective Study

Wang Zhang, Zhu Zhu, Yonggen Zhao, Zheming Li, Lingdong Chen, Jian Huang, Jing Li, Gang Yu

JMIR Med Inform 2023 (Sep 20); 11:e45846

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Diagnostic Value of a Wearable Continuous Electrocardiogram Monitoring Device (AT-Patch) for New-Onset Atrial Fibrillation in High-Risk Patients: Prospective Cohort Study

Ju-Seung Kwun, Jang Hoon Lee, Bo Eun Park, Jong Sung Park, Hyeon Jeong Kim, Sun-Hwa Kim, Ki-Hyun Jeon, Hyoung-won Cho, Si-Hyuck Kang, Wonjae Lee, Tae-Jin Youn, In-Ho Chae, Chang-Hwan Yoon

J Med Internet Res 2023 (Sep 18); 25:e45760

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Estimating Patient Satisfaction Through a Language Processing Model: Model Development and Evaluation

Shinichi Matsuda, Takumi Ohtomo, Masaru Okuyama, Hiraku Miyake, Kotonari Aoki

JMIR Form Res 2023 (Sep 14); 7:e48534

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Diagnosing the Dermatologic Blues: Systematic Review of the Rare Conundrum, Psychogenic Purpura

Praneet K Gill, Amy Zeglinski-Spinney

JMIR Dermatol 2023 (Sep 13); 6:e48153

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Determinants of Intravenous Infusion Longevity and Infusion Failure via a Nonlinear Model Analysis of Smart Pump Event Logs: Retrospective Study

Arash Kia, James Waterson, Norma Bargary, Stuart Rolt, Kevin Burke, Jeremy Robertson, Samuel Garcia, Alessio Benavoli, David Bergström

JMIR AI 2023 (Sep 13); 2:e48628

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Corrected QT Interval (QTc) Diagnostic App for the Oncological Routine: Development Study

Kristina Klier, Yash J Patel, Timo Schinköthe, Nadia Harbeck, Annette Schmidt

JMIR Cardio 2023 (Sep 11); 7:e48096

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Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study

Yong-Hoon Yoon, Jongin Kim, Kwang Jin Lee, Dongrae Cho, Jin Kyung Oh, Minsu Kim, Jae-Hyung Roh, Hyun Woong Park, Jae-Hwan Lee

JMIR Mhealth Uhealth 2023 (Sep 08); 11:e44147

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Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study

Samir Kendale, Andrew Bishara, Michael Burns, Stuart Solomon, Matthew Corriere, Michael Mathis

JMIR AI 2023 (Sep 08); 2:e44909

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Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study

Yuhan Deng, Yuan Ma, Jingzhu Fu, Xiaona Wang, Canqing Yu, Jun Lv, Sailimai Man, Bo Wang, Liming Li

JMIR Public Health Surveill 2023 (Sep 07); 9:e47095

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Applications of Natural Language Processing for the Management of Stroke Disorders: Scoping Review

Helios De Rosario, Salvador Pitarch-Corresa, Ignacio Pedrosa, Marina Vidal-Pedrós, Beatriz de Otto-López, Helena García-Mieres, Lydia Álvarez-Rodríguez

JMIR Med Inform 2023 (Sep 06); 11:e48693

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Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model

Kideog Bae, Young Seok Jeon, Yul Hwangbo, Chong Woo Yoo, Nayoung Han, Mengling Feng

JMIR Cancer 2023 (Sep 05); 9:e45547

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One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study

Maria Luisa Barrigon, Lorena Romero-Medrano, Pablo Moreno-Muñoz, Alejandro Porras-Segovia, Jorge Lopez-Castroman, Philippe Courtet, Antonio Artés-Rodríguez, Enrique Baca-Garcia

J Med Internet Res 2023 (Sep 01); 25:e43719

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Framework for Classifying Explainable Artificial Intelligence (XAI) Algorithms in Clinical Medicine

Thomas Gniadek, Jason Kang, Talent Theparee, Jacob Krive

Online J Public Health Inform 2023 (Sep 01); 15:e50934

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Diagnostic Performance, Triage Safety, and Usability of a Clinical Decision Support System Within a University Hospital Emergency Department: Algorithm Performance and Usability Study

Juhani Määttä, Rony Lindell, Nick Hayward, Susanna Martikainen, Katri Honkanen, Matias Inkala, Petteri Hirvonen, Tero J Martikainen

JMIR Med Inform 2023 (Aug 31); 11:e46760

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Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study

Athanasios Zouzos, Aleksandra Milovanovic, Karin Dembrower, Fredrik Strand

JMIR AI 2023 (Aug 31); 2:e48123

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Graphical User Interface Development for a Hospital-Based Predictive Risk Tool: Protocol for a Co-Design Study

Nicholas Marlow, Marion Eckert, Greg Sharplin, Ian Gwilt, Kristin Carson-Chahhoud

JMIR Res Protoc 2023 (Aug 31); 12:e47717

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