Research Methodology - AI

Machine Learning–Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation

Joshua Kuan Tan, Le Quan, Nur Nasyitah Mohamed Salim, Jen Hong Tan, Su-Yen Goh, Julian Thumboo, Yong Mong Bee

JMIR AI 2024 (Oct 17); 3:e58463

Download Citation: END BibTex RIS

Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study

David Chen, Christian Cao, Robert Kloosterman, Rod Parsa, Srinivas Raman

J Med Internet Res 2024 (Sep 23); 26:e58578

Download Citation: END BibTex RIS

Obtaining the Most Accurate, Explainable Model for Predicting Chronic Obstructive Pulmonary Disease: Triangulation of Multiple Linear Regression and Machine Learning Methods

Arnold Kamis, Nidhi Gadia, Zilin Luo, Shu Xin Ng, Mansi Thumbar

JMIR AI 2024 (Aug 29); 3:e58455

Download Citation: END BibTex RIS

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

Download Citation: END BibTex RIS

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

Leeann Nicole Siegel, Kara P Wiseman, Alex Budenz, Yvonne Prutzman

JMIR AI 2024 (May 22); 3:e51756

Download Citation: END BibTex RIS

Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study

Zoltan P Majdik, S Scott Graham, Jade C Shiva Edward, Sabrina N Rodriguez, Martha S Karnes, Jared T Jensen, Joshua B Barbour, Justin F Rousseau

JMIR AI 2024 (May 16); 3:e52095

Download Citation: END BibTex RIS

Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial

Chao Yan, Ziqi Zhang, Steve Nyemba, Zhuohang Li

JMIR AI 2024 (Apr 22); 3:e52615

Download Citation: END BibTex RIS

Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study

Alfred Sorbello, Syed Arefinul Haque, Rashedul Hasan, Richard Jermyn, Ahmad Hussein, Alex Vega, Krzysztof Zembrzuski, Anna Ripple, Mitra Ahadpour

JMIR AI 2023 (Jul 18); 2:e45000

Download Citation: END BibTex RIS

Extractive Clinical Question-Answering With Multianswer and Multifocus Questions: Data Set Development and Evaluation Study

Sungrim Moon, Huan He, Heling Jia, Hongfang Liu, Jungwei Wilfred Fan

JMIR AI 2023 (Jun 20); 2:e41818

Download Citation: END BibTex RIS

A Trainable Open-Source Machine Learning Accelerometer Activity Recognition Toolbox: Deep Learning Approach

Fluri Wieland, Claudio Nigg

JMIR AI 2023 (Jun 08); 2:e42337

Download Citation: END BibTex RIS

Extraction of Radiological Characteristics From Free-Text Imaging Reports Using Natural Language Processing Among Patients With Ischemic and Hemorrhagic Stroke: Algorithm Development and Validation

Enshuo Hsu, Abdulaziz T Bako, Thomas Potter, Alan P Pan, Gavin W Britz, Jonika Tannous, Farhaan S Vahidy

JMIR AI 2023 (Jun 06); 2:e42884

Download Citation: END BibTex RIS

Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework

Edgar Steiger, Lars Eric Kroll

JMIR AI 2023 (Apr 21); 2:e40755

Download Citation: END BibTex RIS

Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models

Elvira Nurmambetova, Jie Pan, Zilong Zhang, Guosong Wu, Seungwon Lee, Danielle A Southern, Elliot A Martin, Chester Ho, Yuan Xu, Cathy A Eastwood

JMIR AI 2023 (Mar 08); 2:e41264

Download Citation: END BibTex RIS

Artificial Intelligence–Assisted Diagnosis of Anterior Cruciate Ligament Tears From Magnetic Resonance Images: Algorithm Development and Validation Study

Kun-Hui Chen, Chih-Yu Yang, Hsin-Yi Wang, Hsiao-Li Ma, Oscar Kuang-Sheng Lee

JMIR AI 2022 (Jul 26); 1(1):e37508

Download Citation: END BibTex RIS