A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data-Reference-Cited by-同舟云学术

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A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data

Published:2019-05 Issue: Volume:125 Page:37-46
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Dreisbach Caitlin,Koleck Theresa A.,Bourne Philip E.^ORCID,Bakken Suzanne

Funder

Reducing Health Disparities

Precision in Symptom Self-Management (PriSSM) Center

Advancing Chronic Condition Symptom Cluster Science

National Research Service Award

Publisher

Elsevier BV

Subject

Health Informatics

Reference51 articles.

1. Health Online 2013;Fox,2013

2. Identifying medical terms in patient-authored text: a crowdsourcing-based approach;MacLean;J. Am. Med. Inform. Assoc.,2013

3. Natural language processing: an introduction;Nadkarni;J. Am. Med. Inform. Assoc.,2011

4. Natural language processing in mental health applications using non-clinical texts;Calvo;Nat. Lang. Eng.,2017

5. Natural language processing in oncology: a review;Yim;JAMA Oncol.,2016

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