IJCRRI Journ Cur Res ReInternational Journal of Current Research and ReviewI Journ Cur Res Re2231-21960975-5241Radiance Research Academy3004 http://dx.doi.org/10.31782/IJCRR.2020.122031HealthcarePrediction and Forecasting of Persistent Kidney Problems Using Machine Learning Algorithms BhattacharyyaDebnathDoppalaBhanu PrakashRaoN. Thirupathi271020200)134139This article is copyright of Popeye Publishing, 20092009This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.

Persistent Kidney Illness is an extremely hazardous health problem that has been spreading in addition to expanding due to diversification in lifestyle such as food routines, modifications in the environment, and so on. Aim and Objective: The field of health science generates substantial amounts of information from Electronic Wellness Records. According to the wellness data of India, 63538 cases have been registered on persistent kidney condition. The average age of male and female prone to renal problems occurs within the variety of Mid Forty and Seventy year age groups. Conclusion: This paper__ampersandsignrsquo;s original idea is to make a comparative study on various classification techniques and their performance.

Disease Forecasting Kidney Diseases Classification.