Search
Now showing items 1-6 of 6
A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
(Brac University, 2023-01)
In this research, we propose a hybrid model for predicting suicide risk from text
data that incorporates BERT, VADER, and a Random Forest classifier for sentiment
analysis. This model aims to identify individuals who may ...
Early detection of breast cancer using machine learning
(Brac University, 2018-12)
Breast cancer is the most common cancer among women but in can occur in both the genders.
It is accountable for an appalling number of deaths worldwide. In a particularly low-resource
developing country like Bangladesh, ...
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
(Brac University, 2019-09)
The application of Arti cial intelligence (AI) has become a valuable part of medical
research. These days diabetes is one of the top maladies on the planet. Nowadays
it has become a common disease and alarming as people ...
Comparative analysis of machine learning techniques in optimal site selection
(Brac University, 2023-01)
Site selection is a crucial aspect of many businesses, as a company’s location can sig nificantly impact its success. In recent years, machine learning techniques have been
increasingly used to assist with optimal site ...
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)
Stock market, a very unpredictable sector of nance, involves a large number of
investors,buyers and sellers. Stock market prediction is the act of attempting to
see the long run price of an organization stock or di erent ...
A predictive analysis of chronic kidney disease using machine learning
(Brac University, 2022-09)
Chronic kidney disease (CKD) is a determined disease condition having critical grimness
and death rate that influences the whole grown-up populace brought about by
either renal pathology or diminished renal capabilities. ...