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  KEYWORD

Design of an application for patient monitoring, after coronary angioplasty

azienda 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