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Heart attack prediction using machine learning and XAI
(Brac University, 2022-09)
Predictive analytics has received a lot of attention in recent years due to advances
in supporting technology, particularly in the areas of big data and machine learning.
In recent years, the uses of disease prediction ...
Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
(Brac University, 2021-12)
Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography
(CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to
diagnose a variety of disorders, including brain disease, whole-body ...
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)
Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ...
Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
(Brac University, 2022-02)
The current approach to maternal and child healthcare is extremely patient-centred,
it requires costly, risky surveillance and testing before diagnosis besides treatment
accompanied with uncertainty despite the essential ...
XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
(Brac University, 2023-07)
Explainable AI (XAI) techniques are essential for comprehending machine learn-
ing model predictions in a variety of fields, including healthcare. In this study, we
highlight XOPSIS, a newly developed XAI method built ...