title: Development of a system which automatically acquires optimal discrete-valued attributes by dividing and grouping continuous-valued attributes to assist clinical decision making in radiotherapy.
abstract: The purposes of this study were first to develop a system which statistically tests results of radiotherapy and which automatically acquires an optimal discrete-valued attribute by dividing and grouping continuous-valued attributes, and second to find the optimal range of values such as tumor dose by taking account of the conditions and statistics in ROGAD (Radiation Oncology Greater Area Database), a multi-institutional database in Japan. Our ultimate goal is to assist clinical decision making for every patient. In this research, two algorithms for acquiring a boundary value were developed without detecting false boundaries or accidental errors of acquired boundaries. The resolution of detected discrete-valued attributes and speed of convergence were confirmed to be practical. The optimal range of given tumor dose with the best reaction and with the fewest complications is expected to be clarified.
authors: Graduate School of Medicine, Course of Health Science, Osaka Univ. 1-7, Yamagaoka Suita-shi, Osaka, 565-0871 Japan. kou@sahs.med.osaka_u.ac.jp
authors: Hiroko
authors: H
authors: Kou
authors: Hajime
authors: H
authors: Harauchi
authors: Hodaka
authors: H
authors: Numasaki
authors: Yu
authors: Y
authors: Kumazaki
authors: Yasuhiro
authors: Y
authors: Okura
authors: Akihiro
authors: A
authors: Takemura
authors: Takashi
authors: T
authors: Kondou
authors: Masatoshi
authors: M
authors: Ishibashi
authors: Kuniyuki
authors: K
authors: Hidaka
authors: Tokuo
authors: T
authors: Umeda
authors: Kiyofumi
authors: K
authors: Haneda
authors: Kiyonari
authors: K
authors: Inamura
mesh_terms: D000465:Algorithms; D000066491:Clinical Decision-Making; D016208:Databases, Factual; D006801:Humans; D007564:Japan; D009369:Neoplasms; D011878:Radiotherapy