Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54580, first published .
An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study

An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study

An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study

Journals

  1. Yu H, Fan L, Li L, Zhou J, Ma Z, Xian L, Hua W, He S, Jin M, Zhang Y, Gandhi A, Ma X. Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. Journal of Healthcare Informatics Research 2024;8(4):658 View
  2. Ma Y, Lv H, Ma Y, Wang X, Lv L, Liang X, Wang L. Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data. BioData Mining 2025;18(1) View
  3. Shi B, Chen L, Pang S, Wang Y, Wang S, Li F, Zhao W, Guo P, Zhang L, Fan C, Zou Y, Wu X. Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive Care IV (MIMIC-IV) Database. Journal of Medical Internet Research 2025;27:e67253 View

Books/Policy Documents

  1. Musunuri R, Bhatt A. Improving Healthcare Quality and Patient Engagement. View

Conference Proceedings

  1. Jia L, Zhou Q, Peng H, Lu H, Hao Y, Li Y. 2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing). Information Extraction from Aircraft Maintenance Records Using Large Language Models View
  2. Qin Z, Tang Z, He J, Li L. 2024 5th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI). A Long-Text Charge Prediction Method Based on the Prompt-Qwen-FIT Model: Integrating Few-Shot Learning and Incremental Adaptation Training View