Clinical Data Analytics in Healthcare

Abstract

Big data and data analytics changed the way we manage, visualize and analyze data. Now days so much of money is spent for medical treatment and cost incurred during stay at hospital is very high. Predicting stays and possibilities for diseases will reduce this cost. Data analytics also create opportunity in healthcare to find insight from all clinical data captured from many sources like electronics device installed at hospitals and from notes generated from nurses and doctors. Solving problem using machine learning require problem's domain knowledge, different machine learning algorithms and understanding of statistics. Accuracy of machine learning algorithm varies and depends on many factor like the nature, size and quality of the data. In this project, we will apply descriptive and predictive analysis technique to analyze data. We will try to find out most favorable machine learning algorithm for clinical problem like predicting ICU stay, decease prediction, Early warning for health deterioration and Mortality prediction etc. Many useful reports and predictive results will be generated as an outcomes which will be useful for doctors to diagnose patients.