Clinical Information and Decision Making

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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Large-Scale Biomedical Relation Extraction Across Diverse Relation Types: Model Development and Usability Study on COVID-19

Zeyu Zhang, Meng Fang, Rebecca Wu, Hui Zong, Honglian Huang, Yuantao Tong, Yujia Xie, Shiyang Cheng, Ziyi Wei, M James C Crabbe, Xiaoyan Zhang, Ying Wang

J Med Internet Res 2023 (Sep 20); 25:e48115

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The Australian Genetic Heart Disease Registry: Protocol for a Data Linkage Study

Alexandra Butters, Bianca Blanch, Anna Kemp-Casey, Judy Do, Laura Yeates, Felicity Leslie, Christopher Semsarian, Lee Nedkoff, Tom Briffa, Jodie Ingles, Joanna Sweeting

JMIR Res Protoc 2023 (Sep 20); 12:e48636

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Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach

Elham Dolatabadi, Diana Moyano, Michael Bales, Sofija Spasojevic, Rohan Bhambhoria, Junaid Bhatti, Shyamolima Debnath, Nicholas Hoell, Xin Li, Celine Leng, Sasha Nanda, Jad Saab, Esmat Sahak, Fanny Sie, Sara Uppal, Nirma Khatri Vadlamudi, Antoaneta Vladimirova, Artur Yakimovich, Xiaoxue Yang, Sedef Akinli Kocak, Angela M Cheung

J Med Internet Res 2023 (Sep 19); 25:e45767

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Dashboard of Short-Term Postoperative Patient Outcomes for Anesthesiologists: Development and Preliminary Evaluation

Rama Syamala Sreepada, Ai Ching Chang, Nicholas C West, Jonath Sujan, Brendan Lai, Andrew K Poznikoff, Rebecca Munk, Norbert R Froese, James C Chen, Matthias Görges

JMIR Perioper Med 2023 (Sep 19); 6:e47398

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Outsourcing the Management of Reusable Medical Devices in a Chain-Wide Care Setting: Mixed Methods Feasibility Study

Bart A C Noort, Paul Buijs, Oskar Roemeling

Interact J Med Res 2023 (Sep 19); 12:e41409

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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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Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice

Kathleen Fear, Conrad Gleber

JMIR Aging 2023 (Sep 13); 6:e51776

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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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Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study

Guoqing Huang, Qiankai Jin, Yushan Mao

J Med Internet Res 2023 (Sep 12); 25:e46891

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Construction of an Emotional Lexicon of Patients With Breast Cancer: Development and Sentiment Analysis

Chaixiu Li, Jiaqi Fu, Jie Lai, Lijun Sun, Chunlan Zhou, Wenji Li, Biao Jian, Shisi Deng, Yujie Zhang, Zihan Guo, Yusheng Liu, Yanni Zhou, Shihui Xie, Mingyue Hou, Ru Wang, Qinjie Chen, Yanni Wu

J Med Internet Res 2023 (Sep 12); 25:e44897

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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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An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study

Glenn J Fernandes, Arthur Choi, Jacob Michael Schauer, Angela F Pfammatter, Bonnie J Spring, Adnan Darwiche, Nabil I Alshurafa

J Med Internet Res 2023 (Sep 06); 25:e42047

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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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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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Developing a Core Outcome Set for Prognostic Research in Palliative Cancer Care: Protocol for a Mixed Methods Study

Caitlin Spooner, Bella Vivat, Nicola White, Patrick Stone

JMIR Res Protoc 2023 (Sep 01); 12:e49774

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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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