Cargando…
Redesigning COVID-19 Care With Network Medicine and Machine Learning
Emerging evidence regarding COVID-19 highlights the role of individual resistance and immune function in both susceptibility to infection and severity of disease. Multiple factors influence the response of the human host on exposure to viral pathogens. Influencing an individual’s susceptibility to i...
Autores principales: | Halamka, John, Cerrato, Paul, Perlman, Adam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7534825/ https://www.ncbi.nlm.nih.gov/pubmed/33043272 http://dx.doi.org/10.1016/j.mayocpiqo.2020.09.008 |
Ejemplares similares
-
Addressing racial disparities in surgical care with machine learning
por: Halamka, John, et al.
Publicado: (2022) -
The transformative power of mobile medicine: leveraging innovation, seizing opportunities, and overcoming obstacles of mHealth
por: Cerrato, Paul, et al.
Publicado: (2019) -
A proposal for developing a platform that evaluates algorithmic equity and accuracy
por: Cerrato, Paul, et al.
Publicado: (2022) -
Harnessing the Power of Blockchains and Machine Learning to End the COVID-19 Pandemic
por: Fatoum, Hanaa A., et al.
Publicado: (2020) -
Redesigning plant specialized metabolism with supervised machine learning using publicly available reactome data
por: Lim, Peng Ken, et al.
Publicado: (2023)