Browsing Division of Interdisciplinary Research by Subject "Machine learning"
Now showing items 1-3 of 3
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Evaluating routine biochemical parameters for breast cancer detection in Indian women: A machine learning approach
Breast cancer stands as the leading cancer type among Indian women, with a mortality rate that surpasses that of nations such as the USA, Australia, and the UK. The higher mortality rate is largely explained by a lack of ... -
Network models uncover key molecular perturbations in complex human diseases
Biological systems are complex networks of molecular components that function in a tightly controlled manner. Any form of perturbation in these components or their associated interactions affects the normal physiology of ... -
Novel Neural Architectures based on Recurrent Connections and Symmetric Filters for Visual Processing
Artificial Neural Networks (ANN) have been very successful due to their ability to extract meaningful information without any need for pre-processing raw data. First artificial neural networks were created in essence to ...