Machine Learning Analysis of Readmission of Patients Diagnosed With Ischemic and Pulmonary Heart D.

Hospital readmissions are indicators of the quality of service offered by hospitals and gives an insight into the performance measures on the cost at the hospital. A readmission event occurs when a patient that has been discharged from a hospital after a diagnosis and procedure is again readmitted to the hospital within a certain period of time . The Nationwide Readmissions Database (NRD) is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). 1) Summary of research papers in reputed journals on this topic(years 2010 and later)-Literature review 2) Gaps in the research work and why this is a good topic for current research 3) The data from NRD – why is this a reliable source of data to study and predict readmissions for Ischemic and Pulmonary Heart Diseases 4) How machine learning models or algorithms can be used to predict hospital readmission of patients with coronary heart diseases. Example of some recent models/algorithms that have been used and published in the research papers. Gaps in these models.