Tomohiro Kuroda

Division of Medical IT & Administration Planning, Kyoto University Hospital, Kyoto, Japan

Publications

• Original Article   
  Medication Pattern Mining Considering Unbiased Frequent Use by Doctors
  Author(s): Yuji Morita, Masatoshi Yoshikawa*, Noboru Kada, Akihiro Hamasaki, Osamu Sugiyama, Kazuya Okamoto and Tomohiro Kuroda
  
  Background: Many previous studies on mining prescription sequences are based only on frequency information, such as the number of prescriptions and the total number of patients issued the prescription. However, in cases where a very small number of doctors issue a prescription representative of a certain medication pattern to many patients many times, the prescribing intention of this very small number of doctors has a great influence on pattern extraction, which introduces bias into the final extracted frequent prescription sequence pattern. Objectives: We attempt to extract frequent prescription sequences from more diverse perspectives by considering factors other than frequency information to ensure highly reliable medication patterns. Met.. Read More»
  DOI: 10.24105/ejbi.2018.14.1.7