Smart Healthcare System Using Deep Learning

Abstract

The field of medicine is progressing significantly daily and simultaneously towards automated technologies, which aid in enhancing healthcare practice to supply additional effective treatments and precise analysis. In healthcare systems, various data is generated from different domain sources during medical analysis. The data involves patient records, diagnostic test results, and imaging studies. Many studies and extensive research have been done to use numerous approaches to data mining to extract knowledge about medical records. However, removing any hidden information from medical records that can be useful for spotting diseases early on or even before they manifest is still necessary. The goal of current work is to construct a system that will be used for identifying or analyzing disorders to magnify curing ability employing artificial intelligence's most cutting-edge neural network technology called Deep Learning Technology, which utilizes neural networks to autonomously learn and enhance performance based on experience without explicit programming. Utilizing systems, it works with machine learning methods to autonomously extract information from and improve upon enormous quantities of data.