ICDS4IM – Intelligent Clinical Decision Support for Intensive Medicine

Reference
DSAIPA/DS/0084/2018
Contractor
Fundação para a Ciência e a Tecnologia | FCT
CALG Principal Investigator
Manuel Filipe Vieira Torres Santos
Research Group
IST
Period
2019-2021
Abstract:
1- Translate clinical notes based in natural language/narratives into useful data for analytics; 2 - Automatic problem (clinical findings) detection; 3 - Discover cause-effect relations among problems, semiologic notes, assessment notes and clinical decisions (planning); 4 - Improve intelligent decision support on therapies, orders and procedures; 5 - Extend to other intensive medicine areas.
Funded By: