A Unique Model for Detecting the Diseases using Decision Making Approach (DMA)

Abstract

Today medical data analysis is complicated to analyze the patient status because of unpredictable health conditions. It is challenging to find diseases in the early stages. Medical data analysis can be used to analyze several clinical data, such as computed tomography (CT) scan images, X-ray images, and MRI images, to diagnose diseases. Clinical data consists of patient health details with every patient’s health condition in a CSV file. CT scan images are used to visualize the parts of the human body and analyzed to diagnose disease or injuries and treat radiation. Another medical data analysis is MRI scan images used to investigate the conditions of tissues such as tumors that may consist of cancer or noncancerous cells. These MRI scan images show the injuries in soft tissues if there are any damaged ligaments, joint diseases, or injuries. MRI is an essential scan that uses strong magnetic fields and radio waves to generate clear images within the body. In this paper, A Unique Model for Detecting Diseases using Decision Making Approach (DMA) is introduced for medical data analysis, such as tumors in the human body, analyzing cancer and noncancerous tumors from the various datasets.

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