| KEYWORD |
Design of an application for patient monitoring, after coronary angioplasty
Thesis in external company
keywords MACHINE LEARNING
Reference persons MARCO GIUSEPPE AJMONE MARSAN, MONICA VISINTIN
External reference persons Fabrizio D'Ascenzo, Guido Pagana
Research Groups SSPC Team
Thesis type EXPERIMENTAL DESIGN
Description After coronary angioplasty, patients should adhere to the prescribed therapy in terms of physical activity and treatments, but this not always occurs. We want to design a system that automatically estimates the prescription adherence level of a patient, using measured parameters, and report to the physicians the most critical patients, who need more frequent exhaminations
Deadline 14/03/2018
PROPONI LA TUA CANDIDATURA