• Sakshi Gupta
• Pooja Navali
• Amruta Sao
• Savita Bhat
• Prof.Yogesh Thorat

Nowadays usage of records Mining and machine gaining knowledge of is expanding in biomedical and human services agencies, genuine investigation of medicinal statistics advantages early illness discovery, quiet care and organization administrations. Fragmented healing statistics lessens exam precision. The machine studying calculations are proposed for a success expectation of ceaseless infection. to beat the trouble of deficient facts, Genetic set of rules will be applied to remake the lacking statistics. The dataset accommodates of established facts and unstructured facts. To extract capabilities from unstructured information RNN set of rules may be applied. Framework proposes SVM calculation and Naive Bayesian calculation for sickness expectation utilizing unstructured and structured statistics personally from clinic data. network question Answering (CQA) gadget is moreover proposed in an effort to foresee the inquiry and solutions and will provide proper responses to the clients. For that, two calculations are proposed KNN and SVM. KNN set of rules will carry out class on solutions and SVM calculation will carry out class on answers. it's going to assist purchaser to discover quality inquiries and answers identified with infections.

Data analytics; Machine Learning; Healthcare; Community Question Answering (CQA), K Nearest Neighbor, (KNN) and Support Vector Machine (SVM), electronic health records (EHR).

"A Survey On Disease Prediction by Machine Learning from Healthcare Communities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.654-659, December-2018, Available :http://www.jetir.org/papers/JETIR1812689.pdf

"A Survey On Disease Prediction by Machine Learning from Healthcare Communities", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp654-659, December-2018, Available at : http://www.jetir.org/papers/JETIR1812689.pdf