The classification of sets of medical procedures used in the treatment of Diabetes and/or Hypertension

Abstract

The advancement of technology to support data storage is easy to store with large volumes of data. In order to make data storage to be used extensively, the standard of data storage is formed. The World Health Organization defines numbers of the standard medical procedures to cover the all treatments without classifying any medical procedures by diseases. The selection of medical procedures is based on a patient's symptoms. Therefore, if the sets of medical procedures can identified, we may know the diseases of the patient or it can be used in disease surveillance. In addition, diabetes and hypertension are silent killers that have been threatening numbers of Thai people and also lead to many serious diseases. This research identified sets of medical procedures related to diabetes and/or hypertension using C4.5 and Naive Bayes algorithms. The results showed that C4.5 could identify sets of medical procedures related to Diabetes and/or Hypertension more effectively than the Naive Bayes algorithm.