Noncommunicable diseases (NCDs) cause 70% of deaths globally, especially in low-income African countries. Early detection is crucial for prevention and treatment. This project aims to develop an automated system using machine learning for early detection of NCDs.
Metadata
Author
Samiratu Ntohsi
Supervisor
Dr. Tatenda Duncan Kavu
Faculty
COMPUTER SCIENCE
Department
Not listed
Document type
Final Year Project
Year
2021
Keywords
NCD detection, machine learning, health, health disease, diabetes
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License
all_rights_reserved
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