Statin Estimator Based on Artificial Intelligence

Cardiovascular disease is one of the most important of leading cause of mortality and morbidity worldwide. Statins or the ۳-hydroxy-۳-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors are very well known to treatment and prevention cardiovascular events and mortality in patients with coronary artery disease. Although their efficacy is unquestioned, the occurrence and perception of side effects from statins limits their usefulness. In recent years, machine-learning techniques have revolutionized the health care and medication industry mainly in helping pharmacists and medical doctors to find better diagnosis and treatment plans for the patients. Hence, the aim of present project was to develop a software platform based on application of Artificial Intelligence and powered by tree-based Machine Learning Algorithms (Random Forest) to evaluate treatment strategies and recommend type and dosage of statin for treatment of patients with cardiovascular disease. The proposed solution integrates drug molecule including (Atorvastatin, Rosuvastatin or Simvastatin) with patient history, demographics, co-medications and clinical data. The proposed software that have fully automated process provide personal and customized statin type and dosage as a making statin prescribing a safe process to medial community including specialists and pharmacist . This would be accurate fast and reproducible compared to human assessment.

کلیدواژه ها:

Statin Safe ، Cardiovascular Disease ، Machine-Learning Algorithms ، Artificial Intelligence ، Medial Community.