Cross-Modal Data Programming Enables Rapid Medical Machine Learning

A major bottleneck in developing clinically impactful machine learning models is a lack of labeled training data for model supervision. Thus, medical researchers increasingly turn to weaker, noisier sources of supervision, such as leveraging extractions from unstructured text reports to supervise im...

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Detalles Bibliográficos
Autores principales: Dunnmon, Jared A., Ratner, Alexander J., Saab, Khaled, Khandwala, Nishith, Markert, Matthew, Sagreiya, Hersh, Goldman, Roger, Lee-Messer, Christopher, Lungren, Matthew P., Rubin, Daniel L., Ré, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413132/
https://www.ncbi.nlm.nih.gov/pubmed/32776018
http://dx.doi.org/10.1016/j.patter.2020.100019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413132/
https://www.ncbi.nlm.nih.gov/pubmed/32776018
http://dx.doi.org/10.1016/j.patter.2020.100019

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