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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
