Development of a clinical decision support system for personalized hemodynamic risk assessment

This project proposes the research on statistical methods and Machine Learning for supporting clinical decisions related to the treatment of renal patients at risk of hemodynamical instability, that may produce, in turn, other cardiovascular problems of different gravity. Clinical decisions are basically related to treamtents and diet.

Status: Ongoing

Start date: 01/01/2021

End date: 12/31/2023