This project builds a multi-class disease classifier using symptom data. The trained model can predict the most likely disease given a set of symptoms and return a recommended treatment, dynamically ...
B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...
Incomplete Kawasaki disease (IKD) remains hard to recognize because it often lacks the classic signs of complete Kawasaki disease (CKD), yet delayed diagnosis can lead to coronary artery damage. A new ...
A retrospective analysis of 2,800 dental patient records found written self-reported medical histories captured more systemic ...
A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
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