Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers

Background: Due to its convenience, wide availability, low usage cost, neural machine translation (NMT) has increasing applications in diverse clinical settings and web-based self-diagnosis of diseases. Given the developing nature of NMT tools, this can pose safety risks to multicultural communities...

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Detalles Bibliográficos
Autores principales: Xie, Wenxiu, Ji, Meng, Zhao, Mengdan, Zhou, Tianqi, Yang, Fan, Qian, Xiaobo, Chow, Chi-Yin, Lam, Kam-Yiu, Hao, Tianyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566668/
https://www.ncbi.nlm.nih.gov/pubmed/34744846
http://dx.doi.org/10.3389/fpsyt.2021.771562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566668/
https://www.ncbi.nlm.nih.gov/pubmed/34744846
http://dx.doi.org/10.3389/fpsyt.2021.771562

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