繰り返し測定データに対するトピックモデル：薬剤処方データへの適用

抄録

A topic model is an analysis method that extracts latent topics from words of documents. Topic models are used in many fields nowadays, and they are used for marketing or medical data, where data of a subject are often repeatedly measured. Although topic models for longitudinal data have been already proposed, a topic model that can be applied to more diverse repeated measures data needs to be proposed. Then, we proposed a topic model for repeated measures data and evaluated its performance using real-world prescription drug data of a hospital.As a result, the proposed method showed superior performance to existing methods.