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A machine learning approach to detect depression and anxiety using supervised learning
(BRAC University, 2019-04)
Depression, a major depressive disorder and anxiety are common medical illness
which cause several symptoms that a ect the way a person feels, thinks, and the
way he/she acts. These disorders are not only hard to endure, ...
Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
(Brac University, 2023-09)
Cancer, an enduring medical enigma with historical recognition dating back to ancient
civilizations, remains without a definitive cure. This research undertakes a
comprehensive investigation encompassing nine prevalent ...
Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
(Brac University, 2024-05)
Plant diseases, particularly those affecting crop plants, pose a significant danger to
world food security by compromising the quality and yield of agricultural produce.
Mango leaf disease is one such example. Mango leaf ...
Bangla natural language inference
(Brac University, 2024-06)
Natural Language Inference (NLI) plays a vital role in our interpretation of textual
data. Understanding texts is often difficult due to the logical and contextual
motivations behind them. However, with the help of a ...
Parkinson’s disease freezing of gait (FOG) symptom detection using machine learning from wearable sensor data
(BRAC University, 2024-11)
Freezing of gait (FoG) is a special symptom found in patients with Parkinson’s
disease (PD). Patients who have FoG abruptly lose the capacity to walk as they
normally would. Accelerometers worn by patients can record ...