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Demystifying Multiple Sclerosis Diagnosis Using Interpretable And Understandable Artificial Intelligence, Krishnaraj Chadaga, Varada Vivek Khanna, Srikanth Prabhu, Niranjana Sampathila
Demystifying Multiple Sclerosis Diagnosis Using Interpretable And Understandable Artificial Intelligence, Krishnaraj Chadaga, Varada Vivek Khanna, Srikanth Prabhu, Niranjana Sampathila
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Multiple sclerosis (MS) is a dangerous illness that strikes the central nervous system. The body's immune system attacks myelin (an entity above the nerves) and impairs brain-to-body communication. To date, it is not possible to cure MS. However, symptoms can be managed, and treatments can be provided if the disease is diagnosed early. Hence, supervised machine learning (ML) algorithms and several hyperparameter tuning techniques, including Bayesian optimization, have been utilized in this study to predict MS in patients. Descriptive and inferential statistical analysis has been conducted before training the classifiers. The most essential markers were chosen using a technique called …