Tools, Programs and Algorithms

Improving Triage Accuracy in Prehospital Emergency Telemedicine: Scoping Review of Machine Learning–Enhanced Approaches

Daniel Raff, Kurtis Stewart, Michelle Christie Yang, Jessie Shang, Sonya Cressman, Roger Tam, Jessica Wong, Martin C Tammemägi, Kendall Ho

Interact J Med Res 2024 (Sep 11); 13:e56729

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Natural Language Processing Versus Diagnosis Code–Based Methods for Postherpetic Neuralgia Identification: Algorithm Development and Validation

Chengyi Zheng, Bradley Ackerson, Sijia Qiu, Lina S Sy, Leticia I Vega Daily, Jeannie Song, Lei Qian, Yi Luo, Jennifer H Ku, Yanjun Cheng, Jun Wu, Hung Fu Tseng

JMIR Med Inform 2024 (Sep 10); 12:e57949

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Digital Gamification Tool (Let’s Control Flu) to Increase Vaccination Coverage Rates: Proposal for Algorithm Development

Henrique Lopes, Ricardo Baptista-Leite, Catarina Hermenegildo, Rifat Atun

JMIR Res Protoc 2024 (Sep 10); 13:e55613

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Constructing a Hospital Department Development–Level Assessment Model: Machine Learning and Expert Consultation Approach in Complex Hospital Data Environments

Jingkun Liu, Jiaojiao Tai, Junying Han, Meng Zhang, Yang Li, Hongjuan Yang, Ziqiang Yan

JMIR Form Res 2024 (Sep 04); 8:e54638

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Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study

Huan Zhou, Cheng Fang, Yifeng Pan

JMIR Hum Factors 2024 (Aug 30); 11:e62866

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Assessing the Effect of Electronic Health Record Data Quality on Identifying Patients With Type 2 Diabetes: Cross-Sectional Study

Priyanka Dua Sood, Star Liu, Harold Lehmann, Hadi Kharrazi

JMIR Med Inform 2024 (Aug 27); 12:e56734

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Creating a Modified Version of the Cambridge Multimorbidity Score to Predict Mortality in People Older Than 16 Years: Model Development and Validation

Debasish Kar, Kathryn S Taylor, Mark Joy, Sudhir Venkatesan, Wilhelmine Meeraus, Sylvia Taylor, Sneha N Anand, Filipa Ferreira, Gavin Jamie, Xuejuan Fan, Simon de Lusignan

J Med Internet Res 2024 (Aug 26); 26:e56042

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Sex-Based Performance Disparities in Machine Learning Algorithms for Cardiac Disease Prediction: Exploratory Study

Isabel Straw, Geraint Rees, Parashkev Nachev

J Med Internet Res 2024 (Aug 26); 26:e46936

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Establishment and Evaluation of a Noninvasive Metabolism-Related Fatty Liver Screening and Dynamic Monitoring Model: Cross-Sectional Study

Jiali Ni, Yong Huang, Qiangqiang Xiang, Qi Zheng, Xiang Xu, Zhiwen Qin, Guoping Sheng, Lanjuan Li

Interact J Med Res 2024 (Aug 22); 13:e56035

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Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review

Moein Razavi, Samira Ziyadidegan, Ahmadreza Mahmoudzadeh, Saber Kazeminasab, Elaheh Baharlouei, Vahid Janfaza, Reza Jahromi, Farzan Sasangohar

JMIR Ment Health 2024 (Aug 21); 11:e53714

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Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: Retrospective Observational Study

Maruthi Kumar Mutnuri, Henry Thomas Stelfox, Nils Daniel Forkert, Joon Lee

J Med Internet Res 2024 (Aug 21); 26:e52730

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Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework

Mohammad Yaseliani, Md Noor-E-Alam, Md Mahmudul Hasan

JMIR AI 2024 (Aug 20); 3:e55820

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Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study

Alberto De Ramón Fernández, Daniel Ruiz Fernández, Miguel García Jaén, Juan M. Cortell-Tormo

JMIR Med Inform 2024 (Aug 09); 12:e57097

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Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture

I Wayan Pulantara, Yuhan Wang, Lora E Burke, Susan M Sereika, Zhadyra Bizhanova, Jacob K Kariuki, Jessica Cheng, Britney Beatrice, India Loar, Maribel Cedillo, Molly B Conroy, Bambang Parmanto

JMIR Mhealth Uhealth 2024 (Aug 07); 12:e50043

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The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation Study

Omer Katzburg, Michael Roimi, Amit Frenkel, Roy Ilan, Yuval Bitan

JMIR Hum Factors 2024 (Aug 01); 11:e56924

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Optimizing Clinical Trial Eligibility Design Using Natural Language Processing Models and Real-World Data: Algorithm Development and Validation

Kyeryoung Lee, Zongzhi Liu, Yun Mai, Tomi Jun, Meng Ma, Tongyu Wang, Lei Ai, Ediz Calay, William Oh, Gustavo Stolovitzky, Eric Schadt, Xiaoyan Wang

JMIR AI 2024 (Jul 29); 3:e50800

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Unsupervised Feature Selection to Identify Important ICD-10 and ATC Codes for Machine Learning on a Cohort of Patients With Coronary Heart Disease: Retrospective Study

Peyman Ghasemi, Joon Lee

JMIR Med Inform 2024 (Jul 26); 12:e52896

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Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data

Louis Bellmann, Alexander Johannes Wiederhold, Leona Trübe, Raphael Twerenbold, Frank Ückert, Karl Gottfried

JMIR Med Inform 2024 (Jul 24); 12:e49865

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Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning–Based Multimodal Approach

Hsin-Ying Lee, Po-Chih Kuo, Frank Qian, Chien-Hung Li, Jiun-Ruey Hu, Wan-Ting Hsu, Hong-Jie Jhou, Po-Huang Chen, Cho-Hao Lee, Chin-Hua Su, Po-Chun Liao, I-Ju Wu, Chien-Chang Lee

JMIR Med Inform 2024 (Jul 23); 12:e49142

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Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation Study

Annalisa Baronetto, Luisa Graf, Sarah Fischer, Markus F Neurath, Oliver Amft

JMIR AI 2024 (Jul 10); 3:e51118

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