Health Care Monitoring Framework
Keywords: Neural Network, Supervised learning, Patient, Feed forward
Abstract
On the behalf of WHO records, it has been observed that a better health is playing a vital role in human happiness. Good health not only make an individual happy but also his family & friends and also make a contribution to economic growth. But lifestyle a human being is changing day by day and leads human being to an unhealthy life. Apart from exercise and healthy food, the health monitoring at a regular interval also becomes necessary to live a healthy life. Poor accessibility and absence of appropriate health monitoring system, patients need to make frequent visits to their physicians to know about their health update. Thus, its need to include a framework
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The health monitoring framework is important to identify sicknesses effortlessly by just putting dataset of patients. This proposed framework can identify the diseases in patients with more accuracy when contrasted with past frameworks which took care of this issues. In this health monitoring framework, for identifying the illness, has been led by particular indications related, for identifying the infections with more exactness. So , we are utilizing ANN in health monitoring system. NN shows a seriously diverse way to deal with utilizing PCs as a part of the working environment .NN is utilized to study pattern and relationship in information. In the same way as biological NN , ANN can suit numerous inputs in the parallel , encode the data in the appropriated manner[2]-[3]. The data that is put away in a artificial network is shared by numerous processing units. ANN comprise of numerous node i.e processing units closely resembling neurons in the mind. In this the component called neurons, process the information. NN …show more content…
The movement of neurons in the hidden layer is controlled by the activities of the input neurons and the associated weights between the input and the hidden units. Thus, the conduct of the output units relies on upon the movement of the neurons in the hidden layer and the associating weights between the hidden and output layer. Multilayer system of ANN utilize a grouping of learning systems; a most eminent is back–propagation algorithms. This is a standout amongst a perfect ways to deal with making do with machine taking in algorithm data that streams the course of the input layer towards the output
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