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

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