Machine Learning

Articles published in 2024 in this theme: 335 (scroll down to load remaining articles)

2024

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Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study

Xiangkui Jiang, Bingquan Wang

JMIR Med Inform 2024 (Dec 31); 12:e58812

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Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study

Sage Wyatt, Dagfinn Lunde Markussen, Mounir Haizoune, Anders Strand Vestbø, Yeneabeba Tilahun Sima, Maria Ilene Sandboe, Marcus Landschulze, Hauke Bartsch, Christopher Martin Sauer

J Med Internet Res 2024 (Dec 31); 26:e56382

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Slit Lamp Report Generation and Question Answering: Development and Validation of a Multimodal Transformer Model with Large Language Model Integration

Ziwei Zhao, Weiyi Zhang, Xiaolan Chen, Fan Song, James Gunasegaram, Wenyong Huang, Danli Shi, Mingguang He, Na Liu

J Med Internet Res 2024 (Dec 30); 26:e54047

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Development and Validation of a Nomogram-Based Model to Predict Primary Hypertension Within the Next Year in Children and Adolescents: Retrospective Cohort Study

Chenlong Qin, Li Peng, Yun Liu, Xiaoliang Zhang, Shumei Miao, Zhiyuan Wei, Wei Feng, Hongjian Zhang, Cheng Wan, Yun Yu, Shan Lu, Ruochen Huang, Xin Zhang

J Med Internet Res 2024 (Dec 30); 26:e58686

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Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review

Stella Dimitsaki, Pantelis Natsiavas, Marie-Christine Jaulent

J Med Internet Res 2024 (Dec 30); 26:e57824

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An Analysis of the Prevalence and Trends in Drug-Related Lyrics on Twitter (X): Quantitative Approach

Waylon Luo, Ruoming Jin, Deric Kenne, NhatHai Phan, Tang Tang

JMIR Form Res 2024 (Dec 30); 8:e49567

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The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review

Julia Handra, Hannah James, Ashery Mbilinyi, Ashley Moller-Hansen, Callum O'Riley, Jason Andrade, Marc Deyell, Cameron Hague, Nathaniel Hawkins, Kendall Ho, Ricky Hu, Jonathon Leipsic, Roger Tam

JMIR Cardio 2024 (Dec 30); 8:e60697

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Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis

Hui Zong, Rongrong Wu, Jiaxue Cha, Jiao Wang, Erman Wu, Jiakun Li, Yi Zhou, Chi Zhang, Weizhe Feng, Bairong Shen

J Med Internet Res 2024 (Dec 27); 26:e66114

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Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review

Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, Dena Al-Thani

J Med Internet Res 2024 (Dec 24); 26:e53863

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Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis

Tianyi Wang, Ruiyuan Chen, Ning Fan, Lei Zang, Shuo Yuan, Peng Du, Qichao Wu, Aobo Wang, Jian Li, Xiaochuan Kong, Wenyi Zhu

J Med Internet Res 2024 (Dec 23); 26:e54676

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Identifying the Relative Importance of Factors Influencing Medication Compliance in General Patients Using Regularized Logistic Regression and LightGBM: Web-Based Survey Analysis

Haru Iino, Hayato Kizaki, Shungo Imai, Satoko Hori

JMIR Form Res 2024 (Dec 23); 8:e65882

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Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis

Gopi Battineni, Nalini Chintalapudi, Francesco Amenta

JMIR Aging 2024 (Dec 23); 7:e59370

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Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study

Sanghwan Kim, Sowon Jang, Borham Kim, Leonard Sunwoo, Seok Kim, Jin-Haeng Chung, Sejin Nam, Hyeongmin Cho, Donghyoung Lee, Keehyuck Lee, Sooyoung Yoo

JMIR Med Inform 2024 (Dec 20); 12:e67056

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Unveiling the Influence of AI on Advancements in Respiratory Care: Narrative Review

Mohammed M Alqahtani, Abdullah M M Alanazi, Saleh S Algarni, Hassan Aljohani, Faraj K Alenezi, Tareq F Alotaibi, Mansour Alotaibi, Mobarak K Alqahtani, Mushabbab Alahmari, Khalid S Alwadeai, Saeed M Alghamdi, Mohammed A Almeshari, Turki Faleh Alshammari, Noora Mumenah, Ebtihal Al Harbi, Ziyad F Al Nufaiei, Eyas Alhuthail, Esam Alzahrani, Husam Alahmadi, Abdulaziz Alarifi, Amal Zaidan, Taha T Ismaeil

Interact J Med Res 2024 (Dec 20); 13:e57271

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Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study

Sonia Baee, Jeremy W Eberle, Anna N Baglione, Tyler Spears, Elijah Lewis, Hongning Wang, Daniel H Funk, Bethany Teachman, Laura E Barnes

JMIR Ment Health 2024 (Dec 20); 11:e51567

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Influence of Training With Corrective Feedback Devices on Cardiopulmonary Resuscitation Skills Acquisition and Retention: Systematic Review and Meta-Analysis

Abel Nicolau, Inês Jorge, Pedro Vieira-Marques, Carla Sa-Couto

JMIR Med Educ 2024 (Dec 19); 10:e59720

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Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study

Nai-Yu Kuo, Hsin-Jung Tsai, Shih-Jen Tsai, Albert C Yang

J Med Internet Res 2024 (Dec 19); 26:e51615

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A Machine Learning–Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study

Mengqing Ma, Caimei Chen, Dawei Chen, Hao Zhang, Xia Du, Qing Sun, Li Fan, Huiping Kong, Xueting Chen, Changchun Cao, Xin Wan

J Med Internet Res 2024 (Dec 19); 26:e51255

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The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study

Pranav Parekh, Richard Oyeleke, Tejas Vishwanath

JMIR Dermatol 2024 (Dec 18); 7:e59839

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An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study

Lang Cao, Jimeng Sun, Adam Cross

JMIR Med Inform 2024 (Dec 18); 12:e60665

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