Predictive Models for Post-Operative Life Expectancy after Thoracic Surgery
Anatoli Nachev, T Reapy · Mathematical and Software Engineering (Shumen University) · 2015
This paper studies data mining techniques used in medical diagnosis, particularly for predicting chance of survival of a patient after undergoing thoracic surgery.We discuss models built using decision trees, naive Bayes and support vector machines and explore suitability of each of the algorithms to perform on such data.