Novel Big Data Approach for Drug Prediction in Health Care Systems

摘要

In Health Care Systems, consuming of medicines has become day to day activities for the people who are suffering from diseases. Most of the people are not also aware of the medication prescribed by doctors or pharmacies. Sometimes patients get other kind of complications as well by taking the medicines prescribed by medical practitioners. To counter these challenges, the authors are proposing the drug prediction model which will help patients for taking right medicines for the cure of particular disease. MLLib Library of Apache Spark is to be used for initial data analysis for drug suggestions related to symptoms gathered from particular user. The model will analyze the previous history of patients for any side effects of the drug to be recommended and considers weather and maps API from Google as well so that the patients can easily locate the nearby stores where the medicines will be available.