Diabetes Technologies: An comprehensive study of the disease and the tools used in their management

Abstract

Esta obra encontra-se catalogada no Portal Científico. Publicada oficialmente em iSCSi23 - International Conference on Industry Sciences and Computer Sciences Innovation (2023). Referenciada como: "Goncalves, Helena; Silva, F. O.; catarina rodrigues; Godinho, António".

Detalhes Bibliográficos e Editoriais

Veículo / Revista / Livro iSCSi23 - International Conference on Industry Sciences and Computer Sciences Innovation

Descoberta de Coautores & Ciência ID

Autores discriminados na citação da obra:

Goncalves, Helena; Silva, F. O.; catarina rodrigues; Godinho, António

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Diabetes Technologies: An comprehensive study of the disease and the tools used in their management

Abstract

Detalhes Bibliográficos e Editoriais

Descoberta de Coautores & Ciência ID

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Diabetes Technologies: An comprehensive study of the disease and the tools used in their management

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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