Integration of Learning Methods, Medical Literature and Expert

1574 IEICE TRANS. INF. & SYST., VOL.E90–D, NO.10 OCTOBER 2007 PAPER Special Section on Knowledge, Information and Creativity Support System Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining Tu Bao HO †a) , Nonmember, Saori KAWASAKI †b) , Member, Katsuhiko TAKABAYASHI ††c) , and Canh Hao NGUYEN †d) , Nonmembers SUMMARY From lessons learned in medical data mining projects we show that integration of advanced computation techniques and human in- spection is indispensable in medical

data mining. We proposed an inte- grated approach that merges data mining and text mining methods plus vi- sualization support for expert evaluation. We also appropriately developed temporal abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Significant findings in hepatitis study were obtained by the integrated approach. key words: temporal patterns, temporal relations, visualization, expert inspection, integration, hepatitis study 1. Introduction Medicine has been a traditional domain for artificial intel- ligence (AI) research and application. It can be observed that the focus on expert systems (ES) in medicine in early days of AI has been changed to intelligent data analysis (IDA) in medicine, especially by machine learning and data mining techniques[5],[16],[22]. At least, two reasons for the new trend are the bottleneck of knowledge acquisition and the explosive growth of medical databases. Intelligent data analysis in medicine has its own features because of the characteristics of medical data. These characteristics include the incompleteness (missing values), incorrectness (noiseindata),sparseness(fewand/ornon-representablepa- tient records available), and inexactness (inappropriate se- lection of parameters for a given task). Moreover, medical databases are characterized by the particular constraints and difficulties of the...

Website: www.jaist.ac.jp | Filesize: 990kb
No of Page(s): 8
Download Integration of Learning Methods, Medical Literature and Expert ....pdf