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

Patient-Reported Outcome Measures (PROMs) (275) Natural Language Processing (650) Machine Learning (1400) Ontologies, Classifications, and Coding (226) Artificial Intelligence (1214) Pain in Children and Adolescents (39) Children and Young People With Cancer, Pediatric Oncology (51)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26777, first published .
Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study

Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study

Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study

Authors of this article:

Zhaohua Lu1 Author Orcid Image ;   Jin-ah Sim2, 3 Author Orcid Image ;   Jade X Wang1 Author Orcid Image ;   Christopher B Forrest4 Author Orcid Image ;   Kevin R Krull2 Author Orcid Image ;   Deokumar Srivastava1 Author Orcid Image ;   Melissa M Hudson5 Author Orcid Image ;   Leslie L Robison2 Author Orcid Image ;   Justin N Baker5 Author Orcid Image ;   I-Chan Huang2 Author Orcid Image
Article Authors Cited by (15) Tweetations (16) Metrics

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