Heart Disease Prediction using Logistic Regression Algorithm using Machine Learning
Reddy Prasad1, Pidaparthi Anjali2, S.Adil3, N.Deepa4
1Reddy Prasad, Ug Scholar, Department of Computer Science and Engineering, Saveetha School of Engineering, Simats, Chennai (Tamil Nadu), India.
2Pidaparthi Anjali, Ug Scholar, Department of Computer Science and Engineering, Saveetha School of Engineering, Simats, Chennai (Tamil Nadu), India.
3S.Adil, Ug Scholar, Department of Computer Science and Engineering, Saveetha School of Engineering, Simats, Chennai (Tamil Nadu), India.
4N.Deepa, Assistant Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Simats, Chennai (Tamil Nadu), India.
Manuscript received on 29 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 22 June 2019 | PP: 659-662 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C11410283S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We are in a period of “Information Age” where the traditional industry can pressure the rapid shift to the industrial revolution for industrialization, based on economy of information technology Terabytes of data are produced and stored day-to day life because of fast growth in „Information Technology‟. Terabytes of data are produced and stored day-to day life because of fast growth in „Information Technology‟. The data which is collected is converted into knowledge by data analysis by using various combinations of algorithms. For example: the huge amount of the data regarding the patients is generated by the hospitals such as x-ray results , lungs results ,heart paining results, chest pain results , personal health records(PHRs) ., etc. There is no effective use of the data which is generated from the hospitals. Some certain tools are used to extract the information from the database for the detection of heart diseases and other functions is not accepted. The main theme of the paper is the prediction of heart diseases using machine learning techniques by summarizing the few current researches. In this paper the logistic regression algorithms is used and the health care data which classifies the patients whether they are having heart diseases or not according to the information in the record. Also I will try to use this data a model which predicts the patient whether they are having heart disease or not.
Keywords: Heart Diseases, Machine Learning, Data Analysis, Logistic Regression Algorithms.
Scope of the Article: Machine Learning