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

Zhaohua Lu 1 * , PhD ;   Jin-ah Sim 2, 3 * , PhD ;   Jade X Wang 1 , PhD ;   Christopher B Forrest 4 , MD, PhD ;   Kevin R Krull 2 , PhD ;   Deokumar Srivastava 1 , PhD ;   Melissa M Hudson 5 , MD ;   Leslie L Robison 2 , PhD ;   Justin N Baker 5 , MD ;   I-Chan Huang 2 , PhD

1 Department of Biostatistics , St. Jude Children's Research Hospital , Memphis , TN , US

2 Department of Epidemiology and Cancer Control , St. Jude Children's Research Hospital , Memphis , TN , US

3 School of AI Convergence , Hallym University , Chuncheon , KR

4 Roberts Center for Pediatric Research , Children's Hospital of Philadelphia , Philadelphia , PA , US

5 Department of Oncology , St. Jude Children's Research Hospital , Memphis , TN , US

*these authors contributed equally

Corresponding Author:

  • I-Chan Huang, PhD
  • Department of Epidemiology and Cancer Control
  • St. Jude Children's Research Hospital
  • MS 735, 262 Danny Thomas Pl
  • Memphis, TN
  • US
  • Phone: 1 9015958369
  • Email: I-Chan.Huang@STJUDE.ORG