The Early Prediction of Liver Problems Using Knowledge Mining Techniques


  • Kowsalya S Bharathiyar University



Artificial Intelligence, Deep Learning, Convolutional Neural Network, Self-Organising Maps (SOMs), Best Matching Unit (BMU), Deep Belief Networks (DBNs), Autoencoders, Centroid, Clustering


 Knowledge Mining methodologies in health maintenance bump into radiology and chatterbots. These results however can shape the patterns in different sectors of patients with their symptoms. I foresee some of the Knowledge Mining algorithms are capable of identifying the possibilities or the probabilities of getting cancer, and imaging solutions and orphan diseases or specific types of pathology. The algorithms of knowledge mining are exists as Deep learning methodologies that has started emerging as a prominent technique in providing medical professionals with insights that lets them predict issues early on, thereby delivering far more personalized and relevant patient care.




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