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Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review.
Sim, Jin-Ah; Huang, Xiaolei; Horan, Madeline R; Stewart, Christopher M; Robison, Leslie L; Hudson, Melissa M; Baker, Justin N; Huang, I-Chan.
Affiliation
  • Sim JA; Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, United States; School of AI Convergence, Hallym University, Chuncheon, Republic of Korea.
  • Huang X; Department of Computer Science, University of Memphis, Memphis, TN, United States.
  • Horan MR; Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, United States.
  • Stewart CM; Institute for Intelligent Systems, University of Memphis, Memphis, TN, United States.
  • Robison LL; Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, United States.
  • Hudson MM; Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, United States; Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States.
  • Baker JN; Department of Pediatrics, Stanford University, Stanford, CA, United States.
  • Huang IC; Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, United States. Electronic address: i-chan.huang@stjude.org.
Artif Intell Med ; 146: 102701, 2023 12.
Article de En | MEDLINE | ID: mdl-38042599
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Traitement du langage naturel / Dossiers médicaux électroniques Type d'étude: Systematic_reviews Limites: Humans Langue: En Journal: Artif Intell Med Sujet du journal: INFORMATICA MEDICA Année: 2023 Type de document: Article Pays de publication: Pays-Bas
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Traitement du langage naturel / Dossiers médicaux électroniques Type d'étude: Systematic_reviews Limites: Humans Langue: En Journal: Artif Intell Med Sujet du journal: INFORMATICA MEDICA Année: 2023 Type de document: Article Pays de publication: Pays-Bas