Cargando…
In medicine, how do we machine learn anything real?
Machine learning has traditionally operated in a space where data and labels are assumed to be anchored in objective truths. Unfortunately, much evidence suggests that the “embodied” data acquired from and about human bodies does not create systems that function as desired. The complexity of health...
Autores principales: | Ghassemi, Marzyeh, Nsoesie, Elaine Okanyene |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767288/ https://www.ncbi.nlm.nih.gov/pubmed/35079713 http://dx.doi.org/10.1016/j.patter.2021.100392 |
Ejemplares similares
-
How: why how we do anything means everything
por: Seidman, Dov
Publicado: (2007) -
Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity
por: Maharana, Adyasha, et al.
Publicado: (2018) -
Anything But Typical
por: Xiang, Xinran Maria
Publicado: (2022) -
How: why how we do anything means everything-- in business (and in life)
por: Seidman, Dov
Publicado: (2007) -
A Platform for Crowdsourced Foodborne Illness Surveillance: Description of Users and Reports
por: Quade, Patrick, et al.
Publicado: (2017)