The Machine Learning(ML) is just recently has become a reliable tool in the medical domain. The experimental domain of automatic learning is used in tasks such as medical decision support, medical imaging, protein interaction, extraction of medical knowledge, and for overall patient management care. The Machine Learning is pictured as a tool by which computer-based systems can be unified in the healthcare field in order to get a better, more efficient medical care. This paper describes a Machine Learning based methodology for building an application and scattering healthcare information. It extracts sentences from published medical papers that mention diseases and treatments, and identifies relation between meanings that exist between diseases and treatments.