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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Bibliographic Details
Published in:Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 14
Main Authors: Hernández-Arango, Alejandro, Arias, María Isabel, Pérez, Viviana, Chavarría, Luis Daniel, Jaimes, Fabian
Format: research tables/charts Journal Article
Published: Springer Nature 2/3/2025
Online Access:View this record in EBSCOhost