Published on in Vol 23, No 11 (2021): November
![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](https://asset.jmir.pub/assets/33473a490637b3948e087deb3a0aab46.png 480w,https://asset.jmir.pub/assets/33473a490637b3948e087deb3a0aab46.png 960w,https://asset.jmir.pub/assets/33473a490637b3948e087deb3a0aab46.png 1920w,https://asset.jmir.pub/assets/33473a490637b3948e087deb3a0aab46.png 2500w)
1 Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, United States
2 Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, United States
3 School of AI Convergence, Hallym University, Chuncheon, Republic of Korea
4 Roberts Center for Pediatric Research, Children's Hospital of Philadelphia, Philadelphia, PA, United States
5 Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States
*these authors contributed equally