MediBot :A predictor and analyzer for CVD

  • Kadambari Deherkar
Keywords: Data Analysis, Data Mining, Medical information systems, Prediction methods

Abstract

Cardio Vascular disease are now considered to be one of the leading causes for death. It is the essential now to predict such diseases beforehand so that people can take precautions and try to preclude CVD. Thus, it is important to devise a method that aims at predicting these diseases and in less time. This paper aims at developing a CVD predictor which also provides suggestions to the users for lifestyle improvement. For this purpose, this project is making use of the Random Forest Algorithm, which has shown to provide a better accuracy rate than the previously explored methods. The main aim of this project is to help the users catch the risk of a heart disease at an earlier age and curb this in order to lead a healthy and beautiful life. This project will include a Chatbot application called as the MediBot through which the user can enter their details and get an almost accurate prediction of the risk level.

References

[2] K.Sudhakar, Dr. M. Manimekalai , Study of Heart Disease Prediction using Data Mining , International Journal of Advanced Research in Computer Science and Software Engineering [3] Collins Leke, Bhekisipho Twala, and Tshilidzi Marwala, Modeling of Missing Data Prediction: Computational Intelligence and Optimization Algorithms, 2014 IEEE International Conference on Systems, Man, and Cybernetics October 5-8, 2014, San Diego, CA, USA [4] Devendra Ratnaparkhi, Tushar Mahajan, Vishal Jadhav, Heart Disease Prediction System Using Data Mining Technique, International Research Journal of Engineering and Technology (IRJET) Volume: 02 Issue: 08 | Nov-2015 [5] Ankita Dewan, Meghna Sharma, Prediction of Heart Disease Using a Hybrid Technique in Data Mining Classification, 978-9-3805-4416-8/15, 2015 IEEE [6] Bayu Setiaji, Ferry Wahyu Wibowo, Chatbot Using A Knowledge in Database, 2016 7th International Conference on Intelligence Systems, Modelling and Simulation [7] Keerthana T K, Heart Disease Prediction System using Data Mining Method, International Journal of Engineering Trends and Technology (IJETT) – Volume 47 Number 6 May 2017 [8] Saimadhu Polamuri (2017, May 22), How the random forest algorithm works in machine learning, (1st edition), [Online], Available: http://dataaspirant.com/2017/05/22/random-forest-algorithm-machine-learing [9] Sonali S Jagtap, Prediction and Analysis of Heart Disease,International Journal of Innovative Research in Computer and Communication Engineering, Vol. 5, Issue 2, February 2017
Published
2018-04-15
How to Cite
Deherkar, K. (2018, April 15). MediBot :A predictor and analyzer for CVD. ASIAN JOURNAL FOR CONVERGENCE IN TECHNOLOGY (AJCT ) -UGC LISTED, 4(I). https://doi.org/https://doi.org/10.33130/asian%20journals.v4iI.446
Section
Computer Science and Engineering