A Patient Oriented Framework Using K-Means Clustering for Biomedical Engineering Applications
Pages : 310-313
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Abstract
The outcomes exhibit that mix of various medication properties to speak to drugs are important for ADR (Adverse drug reactions) expectation of consolidated prescription and the determination of profoundly sound negative examples can altogether improve the forecast presentation. In this paper, we propose an AI strategy to foresee ADRs of joined drug from pharmacologic databases by working up exceptionally sound negative examples. Data analysis is to prevent the patient from adverse effects of drugs or to predict the effects of drugs or risks of developing disease on human body. Using this concept clinician can make a decision to suggest proper drug to a patient.
Keywords: Machine Learning, SVM Algorithm, K-Mean