京都大学 · 医学
Hoshino教授の研究室は、統計的推測と疫学的モデリングを基盤とし、医療分野における予測モデルの構築や、手術リスクの評価・最適化を主な研究テーマとしています。特に、結腸直腸がんの再発予測に向けたノモグラムの開発や、緊急手術のリスク要因の同定、さらには統計的サンプリング手法の理論的拡張にも取り組んでいます。これらの研究は、臨床意思決定支援や医療の質の向上に貢献する応用的・理論的両面の知見を提供しています。
Figures are computed from collected data and may differ slightly.
Our nomogram can be a useful tool for accurate prediction of recurrence in stage II colorectal cancer.
The use of laparoscopy is becoming common in surgery for acute diffuse peritonitis due to gastrointestinal perforation. This approach may be a useful option for acute diffuse peritonitis.
The actual risk of emergency surgery and the risk factors for overall postoperative complications in emergency cases are shown to serve as a reference for postoperative management. Emergency surgery had an additional burden on patients depending on the type of surgery.
Fisher's logarithmic series model (Fisher et al. (1943)) is a classical model in statistical ecology. In this paper we show that this model is a key model linking three models discussed in Takemura (1997), i.e., Poisson-gamma model (Bethlehem et al. (1990)), Dirichlet-multinomial model (Takemura (1997)), and Ewens model (Ewens (1990), Sibuya (1993)). This connection opens up the possibility of applying existing techniques of statistical ecology to the problem of microdata disclosure risk assessm
Open papers in the app to read, cite, and organize with AI.
