AI-Driven Predictive Model for Diabetes Risk Assessment - A Class-Balanced Machine Learning Approach with Web-Based Deployment

Abstract

Esta obra encontra-se catalogada no Portal Científico. Publicada oficialmente em iSCSi - International Conference on Industry Sciences and Computer Sciences Innovation 2026 (2026). Referenciada como: "Silva, F. O.; Duque, Jorge".

Detalhes Bibliográficos e Editoriais

Veículo / Revista / Livro iSCSi - International Conference on Industry Sciences and Computer Sciences Innovation 2026

Editora / Publisher Elsevier + Springer

Local de Publicação / Conferência Açores, Portugal

Papel / Role Coauthor

Descoberta de Coautores & Ciência ID

Autores discriminados na citação da obra:

Silva, F. O.; Duque, Jorge

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AI-Driven Predictive Model for Diabetes Risk Assessment - A Class-Balanced Machine Learning Approach with Web-Based Deployment

Abstract

Detalhes Bibliográficos e Editoriais

Descoberta de Coautores & Ciência ID

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AI-Driven Predictive Model for Diabetes Risk Assessment - A Class-Balanced Machine Learning Approach with Web-Based Deployment

Abstract

Detalhes Bibliográficos e Editoriais

Descoberta de Coautores & Ciência ID

Other Related Publications

AI-Driven Predictive Model for Diabetes Risk Assessment - A Class-Balanced Machine Learning Approach with Web-Based Deployment

SiSchool: A QR-Based Mobile Device Control System for Educational Environments

From predicting dropout rates to responsible intervention: explainable machine learning for academic success in higher education

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