Cargando…
Individual-Level Fatality Prediction of COVID-19 Patients Using AI Methods
The global covid-19 pandemic puts great pressure on medical resources worldwide and leads healthcare professionals to question which individuals are in imminent need of care. With appropriate data of each patient, hospitals can heuristically predict whether or not a patient requires immediate care....
Autores principales: | Li, Yun, Horowitz, Melanie Alfonzo, Liu, Jiakang, Chew, Aaron, Lan, Hai, Liu, Qian, Sha, Dexuan, Yang, Chaowei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556112/ https://www.ncbi.nlm.nih.gov/pubmed/33102426 http://dx.doi.org/10.3389/fpubh.2020.587937 |
Ejemplares similares
-
Retrospective analysis of 217 fatal intoxication autopsy cases from 2009 to 2021: temporal trends in fatal intoxication at Tongji center for medicolegal expertise, Hubei, China
por: Lihua, Lin, et al.
Publicado: (2023) -
Promoting Research, Awareness, and Discussion on AI in Medicine Using #MedTwitterAI: A Longitudinal Twitter Hashtag Analysis
por: Nawaz, Faisal A., et al.
Publicado: (2022) -
A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic
por: Liu, Tianming, et al.
Publicado: (2021) -
Validating automated eye disease screening AI algorithm in community and in-hospital scenarios
por: Han, Ruoan, et al.
Publicado: (2022) -
Toward explainable AI-empowered cognitive health assessment
por: Javed, Abdul Rehman, et al.
Publicado: (2023)