Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27210, first published .
A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study

A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study

A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study

Journals

  1. Sim J, Huang X, Horan M, Baker J, Huang I. Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(4):467 View
  2. Yang T, Sucholutsky I, Jen K, Schonlau M. exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies. PeerJ Computer Science 2024;10:e1888 View
  3. Cheng J. Applications of Large Language Models in Pathology. Bioengineering 2024;11(4):342 View
  4. Zheng Y, Cai Y, Yan Y, Chen S, Gong K. Novel Approach to Personalized Physician Recommendations Using Semantic Features and Response Metrics: Model Evaluation Study. JMIR Human Factors 2024;11:e57670 View
  5. Cho H, Jun T, Kim Y, Kang H, Ahn I, Gwon H, Kim Y, Seo J, Choi H, Kim M, Han J, Kee G, Park S, Ko S. Task-Specific Transformer-Based Language Models in Health Care: Scoping Review. JMIR Medical Informatics 2024;12:e49724 View