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Showing 2024 · cs.LGShow all
2 papers · 2 filters
cs.LG2024★ 1 cited
First Experiences with the Identification of People at Risk for Diabetes in Argentina using Machine Learning Techniques
Enzo Rucci, Gonzalo Tittarelli, Franco Ronchetti +3
Detecting Type 2 Diabetes (T2D) and Prediabetes (PD) is a real challenge for medicine due to the absence of pathogenic symptoms and the lack of known associated risk factors. Even…
cs.LG2024★ 21 cited
MosquIoT: A System Based on IoT and Machine Learning for the Monitoring of Aedes aegypti (Diptera: Culicidae)
Javier Aira, Teresa Olivares Montes, Francisco M. Delicado +1
Millions of people around the world are infected with mosquito-borne diseases each year. One of the most dangerous species is Aedes aegypti, the main vector of viruses such as deng…