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Predictive Data Mining for Medical Diagnosis

Vaidehi Kalra, Sandeep Tuli

Abstract


Coronary illness is a critical issue which can be very serious in mature ages and furthermore in individuals who don't carry on with a healthy way of life. Individuals ought to go for a normal examination and analysis notwithstanding keeping up a fair dietary pattern can forestall it somewhat. Deaths because of coronary illness has become a significant issue around one individual kicks the bucket every moment because of coronary illness, both male and female classification and this proportion differs in like manner to the area likewise this proportion is considered for the individual old enough gathering 25-69. This issue may begin in early age bunch likewise and anticipate the reason and ailment is a significant test now-a-days. There are different calculations which helps in information investigation by utilizing different mix of calculations. Utilizing clinical profiles, for example, age, sex, circulatory strain and glucose it can foresee the probability of patients getting a coronary illness. Right now, have done a near report utilizing the different AI calculations like Linear Regression, Decision Tree, Random Forest, Knowledge Discovery, additionally we will attempt to utilize this information model to foresee whether the patient is having a coronary illness or not.

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References


V.V. Ramalingam, Ayantan Dandapath et al. “Heart Disease Prediction using machine learning techniques: a survey”, International Journal of Engineering & Technology, 7 (2.8) (2018) 684-687.

European Public Health Alliance. 2010 7-February-2011]; Available from: http://www.epha.org/a/2352

Avinash Golande and Pavan Kumar I "Heart Disease Prediction using Effective Machine Learning Techniques", International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-154, June 2019.

Praveen Kumar Reddy M, T Sunil Kumar Reddy et al., “Heart Disease Prediction Using Machine Learning Algorithm”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-10, August 2019.

Frawley and Piatetsky-Shapiro, 1996. Knowledge Discovery in Databases: An Overview. The AAAI/MIT Press, Menlo Park, C.A.

Sonam Nikar and A.M. karandikar “Prediction of Heart Disease using machine learning algorithms”, International Journal of Advanced Engineering, Management and Science (IJAEMS), Vol-2, Issue-6, June-2016. ISSN:2454–1311

Aurelien Geron, “Hands-On Machine learning with Scikit-Learn & TensorFlow”, O’REILLY Media, Year- 2018

“Classification Algorithms - Random Forest”, Available at ‘https://www.tutorialspoint.com2/machine_learning_with_python/machine_learning_with_python_classification_algorithms_random_forest.htm’

Reddy Prasad, Pidaparthi Anjali et al. “Heart Disease Prediction using Logistic Regression Algorithm using Machine Learning”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8, Issue-3S, February 2019.

Haifeng Wang and Sang Won Yoon, “Breast Cancer Prediction Using Data Mining Method”, Proceedings of the 2015 Industrial and Systems Engineer Research Conference S. Centikaya and J.K. Ryan eds.


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