PREDICTIVE MODELLING IN HEALTHCARE: MACHINE LEARNING STRATEGIES FOR DATASET CLASSIFICATION

The main benefit of studying human genetic variation is the discovery and description of the genetic contribution to several diseases such as Cancer Heart diseases and Diabetes. Cancer is the most worried ailment as the percentage of cancer patients is increasing in huge numbers. The early diagnosis and prognosis of a cancer type plays an important role for the treatment and for clinical management of patient as well as its been important topic of research. The genetic mutations need to be categorized to sort the cancer by means of considering clinical studies papers or medical observations. Currently these interpretations of genetic mutations are being completed manually. That is very time-eating task where in a medical specialist has to manually evaluate and classify every single genetic mutation primarily based on evidence from textual content-based medical literature. Therefore a way to intelligently classify these clinical actionable genetic mutations primarily based on the clinical evidences remains a hassle to deal with.