Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives-Reference-Cited by-同舟云学术

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

Published:2018-02-15 Issue:2 Volume:13 Page:e0192360
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Gehrmann Sebastian^ORCID,Dernoncourt Franck,Li Yeran,Carlson Eric T.,Wu Joy T.,Welt Jonathan,Foote John,Moseley Edward T.,Grant David W.,Tyler Patrick D.,Celi Leo A.

Funder

National Institute of Biomedical Imaging and Bioengineering (US)

Philips Research

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference79 articles.

1. Secondary Analysis of Electronic Health Records;MC Data,2016

2. Adoption of electronic health record systems among US non-federal acute care hospitals: 2008-2012;D Charles;ONC data brief,2013

3. Saeed M, Lieu C, Raber G, Mark RG. MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring. In: Computers in Cardiology, 2002. IEEE; 2002. p. 641–644.

4. MIMIC-III, a freely accessible critical care database;AE Johnson;Scientific data,2016

5. Identifying patient smoking status from medical discharge records;Ö Uzuner;Journal of the American Medical Informatics Association,2008

Cited by 134 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pre-trained language models in medicine: A survey;Artificial Intelligence in Medicine;2024-08

2. An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT;IEEE Transactions on Artificial Intelligence;2024-08

3. Analysis of Race, Sex, and Language Proficiency Disparities in Documented Medical Decisions;2024-07-12

4. Exploring AI-driven approaches for unstructured document analysis and future horizons;Journal of Big Data;2024-07-05

5. Leveraging GPT-4 for identifying cancer phenotypes in electronic health records: a performance comparison between GPT-4, GPT-3.5-turbo, Flan-T5, Llama-3-8B, and spaCy’s rule-based and machine learning-based methods;JAMIA Open;2024-07-01