Decision Making in Medical Application-An Algorithmic Approach

A large number of hospitals and healthcare set-ups are continuing to evolve, as they are finding better ways to institutionalize the adoption and universalize the use of healthcare information system (HIS), that assists in data gathering and sharing among inter-departmental (within hospitals) and inter-hospital (between hospitals) networks. Data mining techniques can be used in these settings to eliminate inefficiencies and overcome challenges in health care delivery, as identifying key patterns within the patient level data will help in understanding and thus timely action upon the key determinants of health prevents disease related burden. Finding an optimum algorithm based on data mining technique that is both effective and efficient, while extracting useful information for decision support from such ever growing HIS databases continues to be an unmet need.This work was subjected to ethical clearance and review at the Ethical Review Board (ERB) of the BGS Global hospital, Bangalore, India, and was duly approved before the study initiation. The book demonstrates results of cascading feature selection with Classification algorithm for medical datasets.