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Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
(BRAC University, 2018-07)
Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ...
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 voice signal based gender prediction model using random forest classifier
(BRAC University, 2018-04)
In the proposed model, Classification and Regression Tree (CART) was used as a classifier to classify
gender using four different algorithms which were tested with changing dataset frames, layer sizes and
samples to get ...
Early threat warning via speech and emotion recognition from voice calls
(BRAC University, 2018-12)
The aim of this system is to identify potential cases of threats, and provide an early warning
or alert to such cases. This will be based on voice such as voice chat over telecommunication
networks or social media. The ...
Finding suitable locations for live campaigns using different machine learning techniques
(BRAC University, 2018)
For business booming, in recent years the idea of find an ideal location for reaching
potential customers has been the focus of past research. Traditional approaches have faced
many negative responses, now to make business ...