Towards interpretable, medically grounded, EMR-based risk prediction models

Machine-learning based risk prediction models have the potential to improve patient outcomes by assessing risk more accurately than clinicians. Significant additional value lies in these models providing feedback about the factors that amplify an individual patient’s risk. Identification of risk fac...

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Detalles Bibliográficos
Autores principales: Twick, Isabell, Zahavi, Guy, Benvenisti, Haggai, Rubinstein, Ronya, Woods, Michael S., Berkenstadt, Haim, Nissan, Aviram, Hosgor, Enes, Assaf, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200841/
https://www.ncbi.nlm.nih.gov/pubmed/35705550
http://dx.doi.org/10.1038/s41598-022-13504-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200841/
https://www.ncbi.nlm.nih.gov/pubmed/35705550
http://dx.doi.org/10.1038/s41598-022-13504-7

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