MEDICAL & HEALTHCARE INDUSTRY RESOURCE ALLOCATION USING DATA MINING

In the health sector, a large number of people need and approach the health center for their attention.Most patients do not receive enough care in the health sector, for example data such as medicines,operation theatre, instruments ready to use, rooms, wards and medical products to all humans in hospitals In certain conditions, some patients have a critical stage or emergency where the resource will not be accessible, in such circumstances people may need to move the hospital or any home where they can get the resources they need most. Previous model utilized in healthcare sector is Support Vector Machines; supports a direct learning model for classification, regression and edge detection.When the difficulty of the data and their classification increases, our previous model fails to satisfy the preferred condition. So we propose a neural network model, which is a series of algorithms that endeavors to accept the underlying relationships in a dataset through a process that copies the operation of human brain likewise, our suggestion algorithm helps to attribute data in our health process. By achieving systematic resource allocation, our patients get what they need when they need it most