Comparative Study of Different Classification Techniques for Post Operative Patient Dataset
نویسندگان
چکیده
Post Operative patient dataset is a real world problem obtained from the UCI KDD archive which is used for our classification problem. In this paper different classification techniques such as Bayesian Classification, classification by Decision Tree Induction of data mining and also classification techniques related to fuzzy concepts of soft computing is used for implementation of our dataset. The parameters used to comparison of different algorithms are RMSE, ROC Area, MAE, Kappa Statistics, time taken to build the model, Relative Absolute Error, Root Relative Squared Error, and the percentage value of classifying instances.
منابع مشابه
Surgical Treatment of Tennis Elbow; Minimal Incision Technique
Background: When non-operative treatment of tennis elbow fails; a surgical procedure can be performed to improve the associated symptoms. Different surgical techniques for treatment of lateral epicondylitis are prescribed. The purpose of this study was to evaluate the clinical outcomes of surgical treatment for tennis elbow based on small incision techniques. Methods: This technique ...
متن کاملComparative evaluation of post operative uveitis following use of viscoelastic (Methyl cellulose gel or healon) and air in patients C cataract surgery and lens implantation
Background: Cataract surgery lens implantation is the most common eye surgery that good quality of operation can help good visual outcome. One of the most common complication following cataract surgery is uveitis that usualy occur in first few weeks after operation. The aim of the present study was to compare the incidence of the post operative uveitis between viscoelastic substance and air in...
متن کاملConditional Random Fields for Airborne Lidar Point Cloud Classification in Urban Area
Over the past decades, urban growth has been known as a worldwide phenomenon that includes widening process and expanding pattern. While the cities are changing rapidly, their quantitative analysis as well as decision making in urban planning can benefit from two-dimensional (2D) and three-dimensional (3D) digital models. The recent developments in imaging and non-imaging sensor technologies, s...
متن کاملAn Automatic System Based Linear Discriminant Analysis Artificial Neural Network For Detecting Of Post-Operative Patient Status
In medical literature, the detecting of post-operative patient status is very important topic. In this paper, An Automatic System based Linear Discriminant Analysis (LDA) and Artificial Neural Network (ANN) for Detecting of Postoperative Patient Status (A_LDA_ANN_DPPS) is introduced. This automatic system consists of three stages, which are feature extraction and feature reduction stage, classi...
متن کاملPerformance Analysis of Different Classification Methods in Data Mining for Diabetes Dataset Using WEKA Tool
Data mining is the process of analyzing data based on different perspectives and summarizing it into useful information. Classification is one of the generally used techniques in medical data mining. The goal here is to discover new patterns to provide meaningful and useful information for the users. Recently data mining techniques are applied to healthcare datasets to explore suitable methods ...
متن کامل