A system for identifying and investigating unexpected response to treatment

The availability of electronic health records creates fertile ground for developing computational models for various medical conditions. Using machine learning, we can detect patients with unexpected responses to treatment and provide statistical testing and visualization tools to help further analy...

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Detalles Bibliográficos
Autores principales: Ozery-Flato, Michal, Ein-Dor, Liat, Neuvirth, Hani, Parush, Naama, Kohn, Martin S., Hu, Jianying, Aharonov, Ranit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2015
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525242/
https://www.ncbi.nlm.nih.gov/pubmed/26306256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525242/
https://www.ncbi.nlm.nih.gov/pubmed/26306256

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