Investigating Role of Data Science in Health Care

Abstract

 The importance of data science in health care is being investigated in research. A Nutrition Prescription System has been suggested, which would be beneficial in the health-care industry. The Map Reduce, Enhanced K Mean clustering method was utilized in the suggested model. The rectangular rectangles describe the real datasets, which include the health care centre dataset and the frequency dataset produced following the map reduction procedure. The elliptical boxes represent the operations involved in the original data flow. Patients will be able to log in to a particular and specialist health care facility using this method. As a result, customers will get better services that meet their needs. Because of the backup facilities, patients would have secure access to the proposed system. The idea of a nutrition prescription system is also superior to that of a medication prescription system since diagnosis has no side effects. The symptoms are chosen by the patient in the proposed dietary prescription system. The patient is given information on his or her nutritional deficiencies and needs, as well as a source of nourishment. Furthermore, the patient is given extra dietary information saved in an unstructured dataset. The result was obtained from the dataset. The report also displays the time consumption for conventional and current tasks in milliseconds.