Temporal Abstraction and Data Mining with Visualization of Laboratory Data

Abstraction and Data Mining with Visualization of Laboratory Data Katsuhiko Takabayashi a , Tu Bao Ho b , Hideto Yokoi c , Trong Dung Nguyen b , Saori Kawasaki b , Si Quang Le b , Takahiro Suzuki a , Osamu Yokosuka d , a Division for Medical Informatics and Management, Chiba University Hospital, Inohana, Chuou-ku, Chiba, 260-8677 Japan b Japan Advanced Institute of Science and Technology,Tatsunokuchi, Ishikawa, 923-1292 Japan c Division for Medical Informatics, Kagawa University Hospital, Ikedo, Miki, Kida-gun, Kagawa, 761-0793 Japan d Department of Gastroenteology, Chiba University Hospital, Inohana, Chuo-ku, Chiba, 260-8677 Japan To analyze the laboratory data by data mining, usercentered universal tools have not been available in medicine. We analyzed 1,565,877 laboratory data of 771 patients with viral hepatitis in order to find the difference of the temporal changes in laboratory test data between Hepatitis B titis C by the combination of temporal abstraction and data mining. The...

• Type: Conference
• Year: 2007
• Where: MEDINFO
• Authors: Katsuhiko Takabayashi, Tu Bao Ho, Hideto Yokoi, Trong Dung Nguyen, Saori Kawasaki, Si Quang Le, Takahiro Suzuki, Osamu Yokosuka
• Keywords: Chiba University Hospital, Data Mining, Healthcare, Laboratory Data, MEDINFO 2007