Identifying Disease Treatment Relations Using F.P Tree

The Machine Learning (ML) field has been one of the most important tool in the health care field. Automated learning is used in tasks such as medical decision support, medical picturing, protein-protein interaction, extraction of medical knowledge, and for overall patient management care. ML 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. This paper reports a ML-based methodology for creating a program that is capable of finding and extracting healthcare information. It allows researcher to add medical papers that mention diseases and treatments, and identifies relations that exist between diseases and treatments. Our proposed methods obtains satisfactory outcomes that could be integrated in an application to be used in the medical care domain. The potential value of this paper is in the settings that we propose.