This paper is in the following e-collection/theme issue:

Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers (17) Electronic Health Records (1053) Machine Learning (1465) Natural Language Processing (692)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22508, first published .
Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning

Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning

Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning

Authors of this article:

Diwakar Mahajan1 Author Orcid Image ;   Ananya Poddar1 Author Orcid Image ;   Jennifer J Liang1 Author Orcid Image ;   Yen-Ting Lin2 Author Orcid Image ;   John M Prager3 Author Orcid Image ;   Parthasarathy Suryanarayanan1 Author Orcid Image ;   Preethi Raghavan1 Author Orcid Image ;   Ching-Huei Tsou1 Author Orcid Image
Article Authors Cited by (14) Tweetations (6) Metrics

Journals

  1. Ormerod M, Martínez del Rincón J, Devereux B. Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis. JMIR Medical Informatics 2021;9(5):e23099 View
  2. Yang X, Chen A, PourNejatian N, Shin H, Smith K, Parisien C, Compas C, Martin C, Costa A, Flores M, Zhang Y, Magoc T, Harle C, Lipori G, Mitchell D, Hogan W, Shenkman E, Bian J, Wu Y. A large language model for electronic health records. npj Digital Medicine 2022;5(1) View
  3. Kariampuzha W, Alyea G, Qu S, Sanjak J, Mathé E, Sid E, Chatelaine H, Yadaw A, Xu Y, Zhu Q. Precision information extraction for rare disease epidemiology at scale. Journal of Translational Medicine 2023;21(1) View
  4. Kalyan K, Rajasekharan A, Sangeetha S. AMMU: A survey of transformer-based biomedical pretrained language models. Journal of Biomedical Informatics 2022;126:103982 View
  5. Gao J, He S, Hu J, Chen G. A hybrid system to understand the relations between assessments and plans in progress notes. Journal of Biomedical Informatics 2023;141:104363 View
  6. Bazoge A, Morin E, Daille B, Gourraud P. Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review. JMIR Medical Informatics 2023;11:e42477 View
  7. Cheligeer C, Wu G, Lee S, Pan J, Southern D, Martin E, Sapiro N, Eastwood C, Quan H, Xu Y. BERT-Based Neural Network for Inpatient Fall Detection From Electronic Medical Records: Retrospective Cohort Study. JMIR Medical Informatics 2024;12:e48995 View
  8. Siebra C, Kurpicz-Briki M, Wac K. Transformers in health: a systematic review on architectures for longitudinal data analysis. Artificial Intelligence Review 2024;57(2) View
  9. Lyu D, Wang X, Chen Y, Wang F. Language model and its interpretability in biomedicine: A scoping review. iScience 2024;27(4):109334 View
  10. Huo D, Wang X. A new era in healthcare: The integration of artificial intelligence and microbial. Medicine in Novel Technology and Devices 2024;23:100319 View
  11. Kefeli J, Berkowitz J, Acitores Cortina J, Tsang K, Tatonetti N. Generalizable and automated classification of TNM stage from pathology reports with external validation. Nature Communications 2024;15(1) View

Books/Policy Documents

  1. Paaß G, Giesselbach S. Foundation Models for Natural Language Processing. View