Determining Efficacy of Treatments Categorized by Diseases

Abstract

The Search Engine process has become the most reliable in the research for any domain. As people believe that the extraction of their search is highly reliable and they follow according to it. The most reliable search is the Google. As, in this project we are getting the search in the medical domain. It has to be taken an extra step in for the research of our project. The empirical domain of automatic learning is used in tasks such as medical decision support, medical imaging, protein-protein interaction, extraction of medical knowledge, and for overall patient management care. Machine Learning field has gained its momentum in almost any domain of research and just recently has become a reliable tool in the medical domain. It is envisioned as a tool by which computer-based systems can be integrated in the healthcare field in order to get a better, more efficient medical care. In this project, we provide the users all their needs about the Disease treatment relation such as Cure, Prevention, Side-effects, Symptoms, Medicine and the Doctors. When the user is in need of their health, they can get the immediate access to patient diagnoses, allergies, and lab test results that enable better and time-efficient medical decisions. Our evaluation results for these tasks show that the proposed methodology obtains reliable outcomes that could be integrated in an application to be used in the medical care domain. And we prove that the search has gained more impact and outperformed the existing project.