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Disease Prediction: A Machine Learning Approach over Big Data

Author(s):

Prof. Chatse Rajendra V. , SVPM's COE Malegaon (bk), Baramati.; Miss. Bhame Vaishali S., SVPM's COE Malegaon(bk),Baramati.; Miss. Bhondve Arti T., SVPM's COE Malegaon(bk),Baramati.; Miss. Kadam Aishwarya R., SVPM's COE Malegaon(bk),Baramati.; Miss. Kopnar Komal D., SVPM's COE Malegaon(bk),Baramati.

Keywords:

Machine Learning, Healthcare, Decision Tree, Big Data, K-Nearest Neighbor Algorithm

Abstract

Machine learning is the study of algorithm and systems that improve their performance with experience. Machine learning is use to classify and predict the data. The propose model will consider both structured & unstructured data. Most of the time patient is always having difficulties when they go to hospital to make a check-up, but the doctors were not available. So patients are waiting for report from doctors and they don't know theirs disease at that time the purpose of this system is to allow user to check whether they have breast cancer or not. This model is use to predict by using machine learning approaches. This model is use to accurate analysis of medical data and early disease detection. Also we get biomedical and healthcare communities, patient care and community services. To protect the patient privacy & security, we created a security access mechanism. In our propose model predict the over real time data. If data is not necessary remove it and update new data.

Other Details

Paper ID: IJSRDV6I80326
Published in: Volume : 6, Issue : 8
Publication Date: 01/11/2018
Page(s): 642-643

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