Research Title
Predicting and understanding excessive use of alcohol using machine learning algorithms: A case of Rombo district in Kilimanjaro
Researchers
Dr. Ubaya M, Ms. Joyce Kalistus Ndauka and Dr. Livini, Donati
Funder
UDSM-MUCE
Start year
2023
End year
2024
Status
On-going
Research Summary
The project aims to utilize machine learning techniques to identify patterns and predictors of alcohol abuse. By analyzing data on various factors, the project seeks to provide insights into the causes and risk factors of excessive alcohol consumption.