Smart Health Care Implementation Using Naïve Bayes Algorithm
Harshitha M , Dr. B M Sagar
—Heart disease and diabetes are two most commonly found chronic disease that has become a mainstream health issue with the current lifestyle. It is essential to identify the symptoms and treat the disease at early stages. Data mining practices are used in number of applications. It is an exercise of determining a large amount of pre-existing database to produce new information. In health care system data mining renders a vital role to predict the illness with the given symptoms and classify the disease as diabetes or heart disease. The major reason of data mining in health care system is to evolve a new automated tool for determining and diffusing pertinent health care information. Here, the system is fed with various attributes. According to those attributes, the system compares the given symptoms with the actual dataset and predicts the relevant disease based on the user input. In this system, Naïve Bayes algorithm and R tool have been used for prediction and visualization. The goal is to develop a cost-effective and easily accessible healthcare system that can benefit the medical practitioners to combat the prolonged procedures of diagnosis and faster retrieval of results.
Data Mining, Heart disease, Diabetes, Symptoms, Naïve Bayes algorithm and R tool
 Pinky Saikia Dutta, Shrabani Medhi, Sunayana Dutta, Tridisha Das, Sweety Buragohain, “Smart Health Care Using Data Mining”, International Journal of Current Engineering And ScientificResearch, Volume- 4, Issue-8,2017.
 Sujatha R, Sumathy R, Anitha Nithya R, “A Survey of Health Care Prediction Using Data Mining ”, International Journal of Innovative Research in Science, vol. 5, Issue 8, August 2016.
 K .Gomathi, Dr. D. Shanmuga Priyaa, “Multi Disease Prediction Using Data Mining Techniques”, International Journal Of System and Software Engineering, Volume 4, Issue-2, December 2016.
 Vishwakarma, Pushpanjali Patel “Smart Health Care”, International Research Journal of Engineering and Technology, Volume 4, Issue 4, April 2017.
 Ionuț ȚĂRANU, “Data mining in healthcare: decision making and precision”, Database Systems Journal vol. VI, no. 4/2015
 Ajinkya Kunjir, Harshal Sawant, Nuzhat F. Shaikh, “'Data Mining and Visualization for prediction of multiple diseases in health care”, International Conference On Big Data Analytics and computational Intelligence (ICBDACI), IEEE 2017.
 M.A. NisharaBanu, B.Gomathy, “Disease Forecasting System Using Data Mining Methods”, International Conference on Intelligent Computing Applications, IEEE 2014.
 Ms. Ishtake S.H, Prof.Sanap S.A., “Intelligent Heart Disease Prediction System Using Data Mining Techniques” International J. of Healthcare & Biomedical Research, Volume: 1, Issue:3, April 2013.
 Shadab Adam Pattwkari and Asma Parveen, “Prediction System For Heart Disease Using Naïve Bayes”, International Journal of Advanced computer and Mathematical Sciences ISSN2230-9624. Vol 3, Issue 3, 2012,pp 290-294.
 Ammar Aldallal and Amina Abdul Aziz Al-Moosa, “Prediction of Heart Diseases and Diabetes Using Data Mining Techniques A Study of MOI Health Center, Kingdom of Bahrain”, volume 2017, issue 9, July – August.
[Harshitha M , Dr. B M Sagar (2019) Smart Health Care Implementation Using Naïve Bayes Algorithm IJIRCST Vol-7 Issue-3 Page No-90-93] (ISSN 2347 - 5552). www.ijircst.org
MTech Student, ISE, R.V College of Engineering, Bangalore, India, (email id: Harshitham.email@example.com )