ホリグチ マサユキ   Horiguchi Masayuki
  堀口 正之
   所属   神奈川大学  理学部 数理・物理学科
    神奈川大学大学院  理学研究科 理学専攻(数学領域)
   職種   教授
言語種別 英語
発行・発表の年月 2021/06
形態種別 その他論文
査読 査読あり
標題 On an Approach to Evaluation of Health Care Programme by Markov Decision Model
執筆形態 単著
掲載誌名 Modern Trends in Controlled Stochastic Processes: Theory and Applications, V.III
掲載区分国外
出版社・発行元 Springer Nature
巻・号・頁 pp.341-354
著者・共著者 Masayuki Horiguchi
概要 In this paper, we consider the evaluation of periodic screening programme for woman breast cancer and formulate the model as partially observable Markov decision process(POMDP).
We convert a POMDP with finite state, observation state and action spaces to an equivalent completely observable Markov decision process with continuous state and finite action spaces.
By this approach, we have an optimal policy from DP equation in an equivalent MDP, but we focus on considering the evaluation in scenarios of periodic screening for participants who are silent condition of breast censer
and seeking an answer which programme is better than others for themselves.
The aim of this paper is, by using the data sets based on cancer registration and estimated parameters of survival rates and other ratios related to screening and diagnoses in Japan, to evaluate some scenarios of breast cancer screening programme in POMDP.
Keywords: finite MDP, evaluation of health care programme, POMDP, practice by MDP
DOI https://doi.org/10.1007/978-3-030-76928-4_18
ISBN 978-3-030-76928-4