Decision Support for Health Professionals

A Fully Automated Analytic System for Measuring Endolymphatic Hydrops Ratios in Patients With Ménière Disease via Magnetic Resonance Imaging: Deep Learning Model Development Study

Chae Jung Park, Young Sang Cho, Myung Jin Chung, Yi-Kyung Kim, Hyung-Jin Kim, Kyunga Kim, Jae-Wook Ko, Won-Ho Chung, Baek Hwan Cho

J Med Internet Res 2021 (Sep 21); 23(9):e29678

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Prediction of Critical Care Outcome for Adult Patients Presenting to Emergency Department Using Initial Triage Information: An XGBoost Algorithm Analysis

Hyoungju Yun, Jinwook Choi, Jeong Ho Park

JMIR Med Inform 2021 (Sep 20); 9(9):e30770

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Health Equity in Artificial Intelligence and Primary Care Research: Protocol for a Scoping Review

Jonathan Xin Wang, Sulaiman Somani, Jonathan H Chen, Sara Murray, Urmimala Sarkar

JMIR Res Protoc 2021 (Sep 17); 10(9):e27799

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Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study

Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Daniel Evans, Jana Hoffman, Jacob Calvert, Qingqing Mao, Ritankar Das

JMIR Form Res 2021 (Sep 14); 5(9):e28028

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Predicting the Mortality and Readmission of In-Hospital Cardiac Arrest Patients With Electronic Health Records: A Machine Learning Approach

Chien-Yu Chi, Shuang Ao, Adrian Winkler, Kuan-Chun Fu, Jie Xu, Yi-Lwun Ho, Chien-Hua Huang, Rohollah Soltani

J Med Internet Res 2021 (Sep 13); 23(9):e27798

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Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Changho Han, Youngjae Song, Hong-Seok Lim, Yunwon Tae, Jong-Hwan Jang, Byeong Tak Lee, Yeha Lee, Woong Bae, Dukyong Yoon

J Med Internet Res 2021 (Sep 10); 23(9):e31129

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Data Empowerment of Decision-Makers in an Era of a Pandemic: Intersection of “Classic” and Artificial Intelligence in the Service of Medicine

Gil A Geva, Itay Ketko, Maya Nitecki, Shoham Simon, Barr Inbar, Itay Toledo, Michael Shapiro, Barak Vaturi, Yoni Votta, Daniel Filler, Roey Yosef, Sagi A Shpitzer, Nabil Hir, Michal Peri Markovich, Shachar Shapira, Noam Fink, Elon Glasberg, Ariel Furer

J Med Internet Res 2021 (Sep 10); 23(9):e24295

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Virtual Clinical and Precision Medicine Tumor Boards—Cloud-Based Platform–Mediated Implementation of Multidisciplinary Reviews Among Oncology Centers in the COVID-19 Era: Protocol for an Observational Study

Livio Blasi, Roberto Bordonaro, Vincenzo Serretta, Dario Piazza, Alberto Firenze, Vittorio Gebbia

JMIR Res Protoc 2021 (Sep 10); 10(9):e26220

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Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

Wael Abdelkader, Tamara Navarro, Rick Parrish, Chris Cotoi, Federico Germini, Alfonso Iorio, R Brian Haynes, Cynthia Lokker

JMIR Med Inform 2021 (Sep 09); 9(9):e30401

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Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study

Yi-Shiuan Liu, Chih-Yu Yang, Ping-Fang Chiu, Hui-Chu Lin, Chung-Chuan Lo, Alan Szu-Han Lai, Chia-Chu Chang, Oscar Kuang-Sheng Lee

J Med Internet Res 2021 (Sep 07); 23(9):e27098

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Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal

Samira Abbasgholizadeh Rahimi, France Légaré, Gauri Sharma, Patrick Archambault, Herve Tchala Vignon Zomahoun, Sam Chandavong, Nathalie Rheault, Sabrina T Wong, Lyse Langlois, Yves Couturier, Jose L Salmeron, Marie-Pierre Gagnon, Jean Légaré

J Med Internet Res 2021 (Sep 03); 23(9):e29839

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Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers

Emily E Haroz, Fiona Grubin, Novalene Goklish, Shardai Pioche, Mary Cwik, Allison Barlow, Emma Waugh, Jason Usher, Matthew C Lenert, Colin G Walsh

JMIR Public Health Surveill 2021 (Sep 02); 7(9):e24377

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An Artificial Neural Network–Based Pediatric Mortality Risk Score: Development and Performance Evaluation Using Data From a Large North American Registry

Niema Ghanad Poor, Nicholas C West, Rama Syamala Sreepada, Srinivas Murthy, Matthias Görges

JMIR Med Inform 2021 (Aug 31); 9(8):e24079

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Patient-Level Cancer Prediction Models From a Nationwide Patient Cohort: Model Development and Validation

Eunsaem Lee, Se Young Jung, Hyung Ju Hwang, Jaewoo Jung

JMIR Med Inform 2021 (Aug 30); 9(8):e29807

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Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study

Syed Asil Ali Naqvi, Karthik Tennankore, Amanda Vinson, Patrice C Roy, Syed Sibte Raza Abidi

J Med Internet Res 2021 (Aug 27); 23(8):e26843

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Variations in Patients’ Overall Assessment of Their Health Across and Within Disease Groups Using the EQ-5D Questionnaire: Protocol for a Longitudinal Study in the Swedish National Quality Registers

Fitsum Sebsibe Teni, Ola Rolfson, Nancy Devlin, David Parkin, Emma Nauclér, Kristina Burström, The Swedish Quality Register (SWEQR) Study Group

JMIR Res Protoc 2021 (Aug 27); 10(8):e27669

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Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test Accuracy

Chang Seok Bang, Jae Jun Lee, Gwang Ho Baik

J Med Internet Res 2021 (Aug 25); 23(8):e29682

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An Artificial Neural Network Prediction Model for Posttraumatic Epilepsy: Retrospective Cohort Study

Xueping Wang, Jie Zhong, Ting Lei, Deng Chen, Haijiao Wang, Lina Zhu, Shanshan Chu, Ling Liu

J Med Internet Res 2021 (Aug 19); 23(8):e25090

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Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register

Yang Cao, Ingmar Näslund, Erik Näslund, Johan Ottosson, Scott Montgomery, Erik Stenberg

JMIR Med Inform 2021 (Aug 19); 9(8):e25612

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Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison

Cheng-Tse Wu, Ta-Wei Chu, Jyh-Shing Roger Jang

JMIR Med Inform 2021 (Aug 12); 9(8):e26398

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