View Proposal

Proposer
Abdalla Hadabi
Title
Medical Diagnosis Classification from Symptoms
Goal
Description
Develop a machine-learning application that predicts potential diseases from patient-reported symptoms and available medical history attributes. The student should preprocess the dataset, train and compare several classification models, and provide predicted disease classes with confidence or probability scores.
Resources
Tinazzi M, Gandolfi M, Artusi CA, Bannister K, Rukavina K, Brefel-Courbon C, de Andrade DC, Perez-Lloret S, Mylius V. Advances in diagnosis, classification, and management of pain in Parkinson's disease. Lancet Neurol. 2025 Apr;24(4):331-347. doi: 10.1016/S1474-4422(25)00033-X. PMID: 40120617.
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
2
Supervisor
Abdalla Hadabi
Keywords
machine learning, disease classification, symptom analysis, healthcare analytics, scikit-learn, classification, decision support
Degrees
Bachelor of Science in Computational Sciences and Software Engineering
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