Prediction of the Risk of Adverse Clinical Outcomes with Machine Learning Techniques in Patients with Noncommunicable Diseases.

Decision-making in chronic diseases guided by clinical decision support systems that use models including multiple variables based on artificial intelligence requires scientific validation in different populations to optimize the use of limited human, financial, and clinical resources in healthcare...

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Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 14
Autores principales: Hernández-Arango, Alejandro, Arias, María Isabel, Pérez, Viviana, Chavarría, Luis Daniel, Jaimes, Fabian
Formato: research tables/charts Journal Article
Publicado: Springer Nature 2/3/2025
Acceso en línea:Ver este registro en EBSCOhost