Cargando…
Acceptance Prediction for Answers on Online Health-care Community
BACKGROUND: With the development of e-Health, it plays a more and more important role in predicting whether a doctor’s answer can be accepted by a patient through online healthcare community. Unlike the previous work which focus mainly on the numerical feature, in our framework, we combine both nume...
Autores principales: | Liu, Qianlong, Liao, Kangenbei, Tsoi, Kelvin Kam-fai, Wei, Zhongyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876081/ https://www.ncbi.nlm.nih.gov/pubmed/31760931 http://dx.doi.org/10.1186/s12859-019-3129-2 |
Ejemplares similares
-
Safety, Feasibility, and Acceptability of Telemedicine for Hypertension in Primary Care: A Proof-of-concept and Pilot Randomized Controlled Trial (SATE-HT)
por: Wang, Shuqi, et al.
Publicado: (2023) -
An answer recommendation framework for an online cancer community forum
por: Athira, B., et al.
Publicado: (2023) -
Answers to Health Questions: Internet Search Results Versus Online Health Community Responses
por: Kanthawala, Shaheen, et al.
Publicado: (2016) -
BioStar: An Online Question & Answer Resource for the Bioinformatics Community
por: Parnell, Laurence D., et al.
Publicado: (2011) -
Question Popularity Analysis and Prediction in Community Question Answering Services
por: Liu, Ting, et al.
Publicado: (2014)