Potential for Big Data Analysis Using AI in the Field of Clinical Pharmacy

Industrial reforms utilizing artificial intelligence (AI) have advanced remarkably in recent years. The application of AI to big data analysis the medical information field has also been advancing and is expected be used find drug adverse effects that cannot predicted by conventional methods. We developed an reactions system uses machine learning from Japanese Adverse Drug Event Report (JADER) database. was using C# programming language incorporates open source library Accord.Net. Potential analytical capabilities include discovering unknown evaluating drug-induced events pharmaceutical management. However, apply management, it important examine characteristics suitability level select statistical methods or when appropriate. If these points are addressed, there potential for management individualized optimized clinical setting analyze data. allow individual healthcare facilities such as hospitals pharmacies contribute repositioning, including discovery new efficacies, interactions, events.