Proposed model on Prediction and Analysis using application of Health care

Proposed system does analysis and prediction of with Regression Analysis. Conceptually the Intelligence is a combination of technologies and processing (i.e. Virtualization, Cloud Computing, and Machine Learning etc.). Now a day Machine learning (ML) is one of the fastest growing fields in computer science and health care informatics. ML's goal is to develop algorithm which can learn as time passes and improve also and can be used for prediction algorithm that can interact with agent and can optimize their learning behavior through these interactions where the agent can also be a human. This paper discusses about working Application of Pseudo intelligence using health care. The result of pseudo intelligence improves the efficiency in providing better survivability of people. Intelligence system is helpful to find out need requirement of a particular health care. Simple linear multivariate regression technique is used for prediction. Dataset is taken from UCI repository. We have achieved maximum accuracy using regression. Aggregation is used to convert uncertain probabilistic data into a certain data. Data mining is used for future power requirement analysis.