Master of Science – Biomedical Engineering, Thesis
Predictive Modelling of Obstructive Sleep Apnea Syndrome (OSAS) Relative to BMI Trajectory.
Master of Science – Biomedical Engineering, Thesis Proposal
Predictive Modelling of Obstructive Sleep Apnea Syndrome (OSAS)
Relative to BMI Trajectory.
Obstructive Sleep Apnea Syndrome (OSAS) is a prevalent respiratory
condition influenced significantly by Body Mass Index (BMI). Early prediction
of OSAS, coupled with understanding BMI trajectories, can lead to better
clinical interventions and management strategies.
The aim of this thesis is to develop and validate a machine learning model
that can predict the incidence and progression of OSAS based on BMI
trajectories. This project will utilize advanced machine learning and deep
learning techniques to analyze patient data and medical records from multiple
hospitals, creating a robust model that healthcare professionals can use for
early diagnosis and personalized treatment planning.
Nature of the Thesis
Programming: 80%, Documentation: 20%
Specific Requirements
• Experience in machine learning
• Good programming skills (especially Python)
Supervisors
Vincent Ochs (PhD student), University of Basel, Center for medical Image
Analysis and Navigation (CIAN)
Dr. med. Anas Taha, University of Basel, Center for medical Image Analysis and
Navigation (CIAN)
Contact: anas.taha@unibas.ch