Machine Learning

Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study

Changyu Wang, Siru Liu, Aiqing Li, Jialin Liu

J Med Internet Res 2023 (Dec 29); 25:e51501

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Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study

Hung-Hsun Chen, Henry Horng-Shing Lu, Wei-Hung Weng, Yu-Hsuan Lin

J Med Internet Res 2023 (Dec 29); 25:e48834

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Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

Guillem Hernández Guillamet, Ariadna Ning Morancho Pallaruelo, Laura Miró Mezquita, Ramón Miralles, Miquel Àngel Mas, María José Ulldemolins Papaseit, Oriol Estrada Cuxart, Francesc López Seguí

Online J Public Health Inform 2023 (Dec 28); 15:e52782

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Patient Acceptability of Symptom Screening and Patient Education Using a Chatbot for Autoimmune Inflammatory Diseases: Survey Study

Tze Chin Tan, Nur Emillia Binte Roslan, James Weiquan Li, Xinying Zou, Xiangmei Chen, Ratnasari, Anindita Santosa

JMIR Form Res 2023 (Dec 28); 7:e49239

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Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study

Aleksandar Ćirković, Toam Katz

JMIR Form Res 2023 (Dec 28); 7:e51798

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Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

Yun Kwan Kim, Ja Hyung Koo, Sun Jung Lee, Hee Seok Song, Minji Lee

J Med Internet Res 2023 (Dec 22); 25:e48244

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NephroCAGE—German-Canadian Consortium on AI for Improved Kidney Transplantation Outcome: Protocol for an Algorithm Development and Validation Study

Matthieu-P Schapranow, Mozhgan Bayat, Aadil Rasheed, Marcel Naik, Verena Graf, Danilo Schmidt, Klemens Budde, Héloïse Cardinal, Ruth Sapir-Pichhadze, Franz Fenninger, Karen Sherwood, Paul Keown, Oliver P Günther, Konstantin D Pandl, Florian Leiser, Scott Thiebes, Ali Sunyaev, Matthias Niemann, Andreas Schimanski, Thomas Klein

JMIR Res Protoc 2023 (Dec 22); 12:e48892

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Predicting Postoperative Hospital Stays Using Nursing Narratives and the Reverse Time Attention (RETAIN) Model: Retrospective Cohort Study

Sungjoo Han, Yong Bum Kim, Jae Hong No, Dong Hoon Suh, Kidong Kim, Soyeon Ahn

JMIR Med Inform 2023 (Dec 19); 11:e45377

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The Evolution of Artificial Intelligence in Biomedicine: Bibliometric Analysis

Jiasheng Gu, Chongyang Gao, Lili Wang

JMIR AI 2023 (Dec 19); 2:e45770

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Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study

Jian Liu, Jia Chen, Yongquan Dong, Yan Lou, Yu Tian, Huiyao Sun, Yuqing Jin, Jingsong Li, Yunqing Qiu

J Med Internet Res 2023 (Dec 18); 25:e45515

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Performance Test of a Well-Trained Model for Meningioma Segmentation in Health Care Centers: Secondary Analysis Based on Four Retrospective Multicenter Data Sets

Chaoyue Chen, Yuen Teng, Shuo Tan, Zizhou Wang, Lei Zhang, Jianguo Xu

J Med Internet Res 2023 (Dec 15); 25:e44119

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Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review

Adrien Bazoge, Emmanuel Morin, Béatrice Daille, Pierre-Antoine Gourraud

JMIR Med Inform 2023 (Dec 15); 11:e42477

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Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review

Julia Cummerow, Christin Wienecke, Nicola Engler, Philip Marahrens, Philipp Gruening, Jost Steinhäuser

J Med Internet Res 2023 (Dec 14); 25:e46929

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Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine Learning Approaches

Htun Teza, Anuchate Pattanateepapon, Attawood Lertpimonchai, Prin Vathesatogkit, Gareth J McKay, John Attia, Ammarin Thakkinstian

JMIR Form Res 2023 (Dec 14); 7:e48351

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A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study

Inger Persson, Adam Grünwald, Ludivine Morvan, David Becedas, Martin Arlbrandt

JMIR Form Res 2023 (Dec 14); 7:e45979

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A Machine Learning Model to Predict Patients’ Adherence Behavior and a Decision Support System for Patients With Metastatic Breast Cancer: Protocol for a Randomized Controlled Trial

Marianna Masiero, Gea Elena Spada, Virginia Sanchini, Elisabetta Munzone, Ricardo Pietrobon, Lucas Teixeira, Mirtha Valencia, Aline Machiavelli, Elisa Fragale, Massimo Pezzolato, Gabriella Pravettoni

JMIR Res Protoc 2023 (Dec 14); 12:e48852

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Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

Arif Budiarto, Kevin C H Tsang, Andrew M Wilson, Aziz Sheikh, Syed Ahmar Shah

JMIR AI 2023 (Dec 07); 2:e46717

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Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study

Ah Ra Lee, Hojoon Park, Aram Yoo, Seok Kim, Leonard Sunwoo, Sooyoung Yoo

JMIR Med Inform 2023 (Dec 06); 11:e53058

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Evaluation of Machine Learning Approaches for Predicting Warfarin Discharge Dose in Cardiac Surgery Patients: Retrospective Algorithm Development and Validation Study

Lindsay Dryden, Jacquelin Song, Teresa J Valenzano, Zhen Yang, Meggie Debnath, Rebecca Lin, Jane Topolovec-Vranic, Muhammad Mamdani, Tony Antoniou

JMIR Cardio 2023 (Dec 06); 7:e47262

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Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

Rachele Hendricks-Sturrup, Malaika Simmons, Shilo Anders, Kammarauche Aneni, Ellen Wright Clayton, Joseph Coco, Benjamin Collins, Elizabeth Heitman, Sajid Hussain, Karuna Joshi, Josh Lemieux, Laurie Lovett Novak, Daniel J Rubin, Anil Shanker, Talitha Washington, Gabriella Waters, Joyce Webb Harris, Rui Yin, Teresa Wagner, Zhijun Yin, Bradley Malin

JMIR AI 2023 (Dec 06); 2:e52888

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