2013 Fiscal Year Final Research Report
Advanced Utilization of Medical Record Data with Relational Probabilistic Models
| Project/Area Number |
23240043
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
ASOH Hideki 独立行政法人産業技術総合研究所, 知能システム研究部門, 上級主任研究員 (10344194)
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| Co-Investigator(Kenkyū-buntansha) |
HASIDA Koiti 東京大学大学院, 情報理工学研究科, 教授 (00357766)
AKAHO Shotaro 産業技術総合研究所, ヒューマンライフテクノロジー研究部門, 研究グループ長 (40356340)
KAMISHIMA Toshihiro 産業技術総合研究所, ヒューマンライフテクノロジー研究部門, 主任研究員 (50356820)
SHIRO Masanori 産業技術総合研究所, ヒューマンライフテクノロジー研究部門, 主任研究員 (90357244)
KOHRO Takahide 東京大学, 医学部附属病院, 臨床登録医 (40401046)
ARAMAKI Eiji 京都大学, デザイン学ユニット, 特定准教授 (70401073)
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| Project Period (FY) |
2011-04-01 – 2014-03-31
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| Keywords | 医療・福祉 / 機械学習 / 統計数学 / 知識表現 / 循環器・高血圧 |
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| Research Abstract |
In this research project, we tried to develop a novel statistical analysis framework for medical record data which are generated in daily medical care processes. We proposed to use Markov decision process to model the medical record data and evaluated the value of patient states and doctors' actions with reinforcement learning and inverse-reinforcement learning methods. We also developed a tool chains which enable to visualize medical record data, extract interesting parts of the data, and analyze the extracted data with the proposed methods.
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