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Data mining usage in health care management: literature survey and decision tree application

Aim To show the benefits of data mining in health care management. In this example, we are going to show a way to raise awareness of women in terms of contraceptive methods they use (do not use). Methods Goal of the data mining analysis was to determine if there are common characteristics of the women according to their choice of contraception (typical classification problem). Therefore, we decided to use decision trees. We have generated a CHAID model in “ Statistica” , based on the database that was formed as a result of an Indonesian research that was conducted in 1987. The sample contains married women who were either not pregnant or did not know if they were pregnant at the time of the interview. The database consists of 1473 cases. Also, an extensive internet search was conducted in order to detect a number of articles cited in scientific databases published on the subject of data mining in health care management. Results It has shown that the most important variable in case of women’ s choice of contraceptive methods is – a husband’ s profession. Also we retrieved 221 articles published on the application of data mining in health care. Conclusion The goal of the paper is achieved in two ways: first, retrieving 221 articles published on the subject we have proved the benefits of data mining in the health care management. Second, the decision tree method is successfully applied in explanation of women’ s choice of contraceptive methods.

data mining; decision trees; CHAID; contraception

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