AI-based modular warning machine for risk identification in proximity healthcare
By: Chiara Razzetta , Shahryar Noei , Federico Barbarossa and more
Potential Business Impact:
Helps doctors predict health problems using patient data.
"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.
Similar Papers
Proactive HIV Care: AI-Based Comorbidity Prediction from Routine EHR Data
Computers and Society
AI finds hidden sicknesses in HIV patients.
Proactive HIV Care: AI-Based Comorbidity Prediction from Routine EHR Data
Computers and Society
AI finds hidden sicknesses in HIV patients.
An AI-Based Public Health Data Monitoring System
Artificial Intelligence
Finds health problems faster in big data.