AI-based modular warning machine for risk identification in proximity healthcare

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Abstract
"DHEAL-COM - Digital Health Solutions in Community Medicine" is a research and technology project funded by the Italian Department of Health for the development of digital solutions of interest in proximity healthcare. The activity within the DHEAL-COM framework allows scientists to gather a notable amount of multi-modal data whose interpretation can be performed by means of machine learning algorithms. The present study illustrates a general automated pipeline made of numerous unsupervised and supervised methods that can ingest such data, provide predictive results, and facilitate model interpretations via feature identification.
View on arXiv@article{razzetta2025_2506.15823, title={ AI-based modular warning machine for risk identification in proximity healthcare }, author={ Chiara Razzetta and Shahryar Noei and Federico Barbarossa and Edoardo Spairani and Monica Roascio and Elisa Barbi and Giulia Ciacci and Sara Sommariva and Sabrina Guastavino and Michele Piana and Matteo Lenge and Gabriele Arnulfo and Giovanni Magenes and Elvira Maranesi and Giulio Amabili and Anna Maria Massone and Federico Benvenuto and Giuseppe Jurman and Diego Sona and Cristina Campi }, journal={arXiv preprint arXiv:2506.15823}, year={ 2025 } }
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