The aim of this contribution is to outline current re-search at CNR-IEIIT in the area of AI and health. Our research is focused on the development of methods to extract actionable knowledge from health-related data towards the development of novel digital systems to monitor, predict, and im-prove health. Examples of our recent research in-clude: eXplainable AI for patient monitoring using mobile and wearable devices; chronic disease pre-diction from biomarkers extracted from electronic medical records; unsupervised machine learning for patient segmentation and tailored intervention; and AI-based screening of hearing impairment and cognitive decline.
AI & Health: Methods and Applications
Paglialonga A;Orani V;Carlevaro A;Narteni S;Muselli M;Dabbene F;Mongelli M
2022
Abstract
The aim of this contribution is to outline current re-search at CNR-IEIIT in the area of AI and health. Our research is focused on the development of methods to extract actionable knowledge from health-related data towards the development of novel digital systems to monitor, predict, and im-prove health. Examples of our recent research in-clude: eXplainable AI for patient monitoring using mobile and wearable devices; chronic disease pre-diction from biomarkers extracted from electronic medical records; unsupervised machine learning for patient segmentation and tailored intervention; and AI-based screening of hearing impairment and cognitive decline.| File | Dimensione | Formato | |
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Descrizione: Paglialonga et al., (2022), AI & Health: Methods and Applications, Ital-IA 2022
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