|Name||Intelligent Multimorbidity Management System|
|Funding Reference||LISBOA-01-0247- FEDER-045948|
This project will focus on managing the issue of a growing population with multimorbidity (co-occurring diseases), a worldwide problem to the sustainability of the healthcare system. IntelligentCare aims to develop a patient-centric solution to manage multimorbidity conditions by using analytical methods to explore data from the electronic health records and measures reported remotely by the patients. Under the value-based healthcare framework, the project will develop methods for early signalization and characterization of patients, identification of personalized clinical pathways based on evidence, and based on patient value vision, together with monitoring and prediction of hospital interactions. To achieve these goals research will be conducted in advanced analytical algorithms, particularly deep learning methods, in order to fully explore data. This is an innovative approach to evaluate the multimorbidity condition by introducing the concept of value to the patient in the process of characterization and prediction of patient interactions with the hospital.
Computer and Robot Vision Lab (VisLab)
|Project Partners||GLSMED Learning Health S.A.; Hospital da Luz S.A.; Instituto Superior Técnico; IST-ID, Associação Do Instituto Superior Técnico Para A Investigação e o Desenvolvimento; INESC ID – Instituto De Engenharia De Sistemas E Computadores, Investigação E Desenvolvimento Em Lisboa; Priberam Informática S.A.; Heinz College of Information Systems and Public Policy at Carnegie Mellon University|
Intelligent Multimorbidity Management System