Predicting the Relapse Category in Patients with Tuberculosis: A Chi-Square Automatic Interaction Detector (CHAID) Decision Tree Analysis

Chi squared automatic interaction detector pdf

Chi-Square Automatic Interaction Detection Modeling for Predicting Depression in Multicultural Female Students

This study developed a depression prediction model for female students from multicultural families by using a decision tree model based on Chi-squared automatic interaction detection (CHAID) algorithm. Subjects of the study were 9,024 female students between 12 and 15 years old among the children of surveyed marriage immigrants. Outcome variables were classified as presence of depression. Expla...

ارائه مدلی برای پیش‌بینی نوع صافی همودیالیز با تکنیک‌های داده‌کاوی

Introduction: Inadequate dialysis for patients' kidneys as a mortality risk necessitates the presence of a pattern to assist staff in dialysate part to provide the proper services for dialysis patients and also the proper management of their treatment. Since the role of buffer type in the adequacy of dialysis is determinative, the present study is aimed at determining hemodialysis buffer type. ...

Implementation of Classifiers for Choosing Insurance Policy Using Decision Trees: A Case Study

In this paper, we use decision trees to establish the decision models for insurance purchases. Five major types of insurances are involved in this study including life, annuity, health, accident, and investment-oriented insurances. Four decision tree methods were used to build the decision models including Chi-square Automatic Interaction Detector (CHAID), Exhaustive Chi-square Automatic Intera...

Cross-tabulation with Chi-square Analysis

Cross-tabulation is one of the most useful analytical tools and is a main-stay of the market research industry. One estimate is that single variable frequency analysis and cross-tabulation analysis account for more than 90% of all research analyses. Cross-tabulation analysis, also known as contingency table analysis, is most often used to analyze categorical (nominal measurement scale) data. A ...