研究者情報 | 神奈川大学

ホリグチ　マサユキ Horiguchi Masayuki 堀口　正之所属神奈川大学理学部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