Cargando…
Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study
BACKGROUND: Artificial intelligence (AI) technologies, such as machine learning and natural language processing, have the potential to provide new insights into complex health data. Although powerful, these algorithms rarely move from experimental studies to direct clinical care implementation. OBJE...
Autores principales: | Kanbar, Lara J, Wissel, Benjamin, Ni, Yizhao, Pajor, Nathan, Glauser, Tracy, Pestian, John, Dexheimer, Judith W |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804095/ https://www.ncbi.nlm.nih.gov/pubmed/36525289 http://dx.doi.org/10.2196/37833 |
Ejemplares similares
-
An interactive online dashboard for tracking COVID-19 in U.S. counties, cities, and states in real time
por: Wissel, Benjamin D, et al.
Publicado: (2020) -
Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning
por: Cohen, Kevin Bretonnel, et al.
Publicado: (2016) -
Validation pipeline for machine learning algorithm assessment for multiple vendors
por: Bizzo, Bernardo C., et al.
Publicado: (2022) -
Building Machine Learning Pipelines
por: Hapke, Hannes
Publicado: (2020) -
Implementation and empirical evaluation of a quantum machine learning pipeline for local classification
por: Zardini, Enrico, et al.
Publicado: (2023)