Abstract:TCM has been widely researched through various methods in computer science in past decades, but none digs into huge amount of clinical cases to discover the meaningful treatment patterns between symptoms and herbs. To meet the challenge, we explore the unstructured and intricate experiential data in clinical case, and propose a method to discover the treatment patterns by introducing a novel topic model named SHT (Symptom-Herb Topic model). Combinational rules are incorporated into the learning process. We eva… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.