Detecting Diseases in Medical Prescriptions Using Data Mining Tools and Combining Techniques

Abstract

Data about the prevalence of communicable and non-communicable diseases, as one of the most important categories of epidemiological data, is used for interpreting health status of communities. This study aims to calculate the prevalence of outpatient diseases through the characterization of outpatient prescriptions. The data used in this study is collected… (More)

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@inproceedings{Teimouri2016DetectingDI, title={Detecting Diseases in Medical Prescriptions Using Data Mining Tools and Combining Techniques}, author={Mehdi Teimouri and Farshad Farzadfar and Mahsa Soudi Alamdari and Amir Hashemi-Meshkini and Parisa Adibi Alamdari and Ehsan Rezaei-Darzi and Mehdi Varmaghani and Aysan Zeynalabedini}, booktitle={Iranian journal of pharmaceutical research : IJPR}, year={2016} }