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

BACKGROUND: Assessing patient-reported outcomes (PROs) through interviews or conversations during clinical encounters provides insightful information about survivorship. OBJECTIVE: This study aims to test the validity of natural language processing (NLP) and machine learning (ML) algorithms in ident...

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Detalles Bibliográficos
Autores principales: Lu, Zhaohua, Sim, Jin-ah, Wang, Jade X, Forrest, Christopher B, Krull, Kevin R, Srivastava, Deokumar, Hudson, Melissa M, Robison, Leslie L, Baker, Justin N, Huang, I-Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600437/
https://www.ncbi.nlm.nih.gov/pubmed/34730546
http://dx.doi.org/10.2196/26777

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600437/
https://www.ncbi.nlm.nih.gov/pubmed/34730546
http://dx.doi.org/10.2196/26777

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