Evaluation of a New Feature to Predict Long-Term Adherence to Continuous Positive Airway Pressure Treatment in Obstructive Sleep Apnea Syndrome Patients

Benedetta Giachetti

Evaluation of a New Feature to Predict Long-Term Adherence to Continuous Positive Airway Pressure Treatment in Obstructive Sleep Apnea Syndrome Patients.

Rel. Marco Ghislieri, Elena Mugellini. Politecnico di Torino, Master of science program in Biomedical Engineering, 2024

Preview

PDF (Tesi_di_laurea) - Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives.
Download (5MB) | Preview

Abstract

Utilizzo di tecniche di AI per prevedere la compliance nei pazienti affetti da apnea notturna

Relators

Marco Ghislieri, Elena Mugellini

Academic year

2024/25

Publication type

Electronic

Number of Pages

Course of studies

Master of science program in Biomedical Engineering

Classe di laurea

New organization > Master science > LM-21 - BIOMEDICAL ENGINEERING

Ente in cotutela

HEAI-FR - HES-SO (SVIZZERA)

Aziende collaboratrici

Haute école d'ingénierie et d'architecture de Fribourg

URI

https://webthesis.biblio.polito.it/id/eprint/32773

Modify record (reserved for operators)