An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques
Liu Haifeng, Xie Guotong, Jing Mei, Weijia Shen, Wen Yang Sun, Xiang Li · Studies in health technology and informatics · 2013
We demonstrate how data mining techniques can help recommend effective medications when physicians need to control the glucose level of patients with type 2 diabetes. We first identify the factors that may affect physicians' medication decisions and then develop a patient-similarity based approach to automatically recommend medications for a patient with the specific condition so that his blood glucose level (measured by HbA1C value) can be well controlled. The approach is validated through experiments on real data sets and compared with the recommendations by following a clinical guideline.