• Sreenivasa Rao Veeranki

Physicians must physically evaluate patients to determine their ailments and diseases and as a result a vast quantity of data is collected in the medical science’domain. Data mining is crucial in illness prediction for a range of factors. For extracting or discovering highly specific data from large amounts of data, Knowledge Discovery method can be used to ease the prognosis of any kind of disease. For extracting completely undiscovered, creative, legitimate, and potentially valuable data patterns, Data mining technique can be a useful technique. Before they occur, healthcare professionals and specialists must be able to foresee a patient's ailment and internal damage. Allowing for better health outcomes. data mining forecasts and categorization aid in the discovery of relationships and trends in patient medical information.

Artificial intelligence, Data mining, Visualizations, machine learning, Deep learning, Calcific models, random forest, k-nearest neighbour, support vector machine, Association rule mining, Regression, Naive Bayes Classifier, Artificial Neural Networks, healthcare

"Use of Artificial Intelligence & Data Mining & Visualizations to Detect Numerous Illnesses", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.32-43, September 2018, Available :http://www.jetir.org/papers/JETIR1809983.pdf

"Use of Artificial Intelligence & Data Mining & Visualizations to Detect Numerous Illnesses", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp32-43, September 2018, Available at : http://www.jetir.org/papers/JETIR1809983.pdf