JP7438191B2 - 情報処理装置 - Google Patents
情報処理装置 Download PDFInfo
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- JP7438191B2 JP7438191B2 JP2021508154A JP2021508154A JP7438191B2 JP 7438191 B2 JP7438191 B2 JP 7438191B2 JP 2021508154 A JP2021508154 A JP 2021508154A JP 2021508154 A JP2021508154 A JP 2021508154A JP 7438191 B2 JP7438191 B2 JP 7438191B2
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- 230000010365 information processing Effects 0.000 title claims description 34
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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Description
Claims (5)
- 入力データを記憶するログ情報記憶部と、
前記入力データに基づいて、出力状態を推定するための第1状態推定モデル、および前記出力状態が所定の状態である場合において、さらに詳細な状態を推定するための第2状態推定モデル、を記憶するモデル記憶部と、
前記第1状態推定モデルおよび第2状態推定モデルを用いて、入力データに対する出力状態を推定する推定処理部と、
前記第1状態推定モデルの推定結果に対する推定根拠を、前記入力データを用いて説明するための説明推定モデルを記憶する説明モデル記憶部と、
前記説明推定モデルに基づいて第1状態推定モデルの推定結果の推定根拠を推定する説明推定部と、
を備える情報処理装置。 - 前記モデル記憶部は、さらに、第3状態推定モデルを記憶し、
前記第1状態推定モデルは、入力データに対する出力状態が第1状態であるか、第2状態であることを推定するための学習モデルであり、
前記第2状態推定モデルは、前記出力状態が第1状態である場合において、さらに詳細な状態を判定するための学習モデルであり、
前記第3状態推定モデルは、前記出力状態が第2状態である場合において、さらに詳細な状態を判定するための学習モデルである、
請求項1に記載の情報処理装置。 - 前記説明推定部は、
前記推定結果の推定根拠として、前記出力状態に影響を及ぼした一または複数の入力データを示す、請求項1または2に記載の情報処理装置。 - 前記説明推定部は、
前記説明モデル記憶部から推定根拠となる入力データを取得し、当該入力データにおける過去からの変化に基づいて、前記推定結果と入力データとに対する分析を行う、請求項1~3のいずれか一項に記載の情報処理装置。 - 前記第1状態推定モデルは、
入力データと、当該入力データに対応して用意された正解データとに基づいて構築され、
前記第2状態推定モデルは、
前記第1状態推定モデルの構築に用いられた入力データと当該入力データに対応する前記正解データのうち、第2状態推定モデルを適用することを示した所定の状態に対応する正解データと、当該正解データに対応した入力データとに基づいて構築される、
請求項1~4のいずれか一項に記載の情報処理装置。
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JP2019055070 | 2019-03-22 | ||
JP2019055070 | 2019-03-22 | ||
PCT/JP2020/003493 WO2020195147A1 (ja) | 2019-03-22 | 2020-01-30 | 情報処理装置 |
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JPWO2020195147A1 JPWO2020195147A1 (ja) | 2020-10-01 |
JP7438191B2 true JP7438191B2 (ja) | 2024-02-26 |
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US (1) | US20220148729A1 (ja) |
JP (1) | JP7438191B2 (ja) |
WO (1) | WO2020195147A1 (ja) |
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JP7502963B2 (ja) | 2020-10-27 | 2024-06-19 | 株式会社日立製作所 | 情報処理システムおよび情報処理方法 |
JP7129727B1 (ja) | 2021-12-24 | 2022-09-02 | 株式会社エルブズ | 特異性検知装置、特異性検知方法、特異性検知プログラム及び特異性検知システム |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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JP2017026482A (ja) | 2015-07-23 | 2017-02-02 | 日本電気株式会社 | データ処理装置、決定木生成方法、識別装置及びプログラム |
US20180158552A1 (en) | 2016-12-01 | 2018-06-07 | University Of Southern California | Interpretable deep learning framework for mining and predictive modeling of health care data |
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US11138503B2 (en) * | 2017-03-22 | 2021-10-05 | Larsx | Continuously learning and optimizing artificial intelligence (AI) adaptive neural network (ANN) computer modeling methods and systems |
US20220366494A1 (en) * | 2018-05-06 | 2022-11-17 | Strong Force TX Portfolio 2018, LLC | Market orchestration system for facilitating electronic marketplace transactions |
US11526808B2 (en) * | 2019-05-29 | 2022-12-13 | The Board Of Trustees Of The Leland Stanford Junior University | Machine learning based generation of ontology for structural and functional mapping |
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- 2020-01-30 JP JP2021508154A patent/JP7438191B2/ja active Active
- 2020-01-30 WO PCT/JP2020/003493 patent/WO2020195147A1/ja active Application Filing
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JP2017026482A (ja) | 2015-07-23 | 2017-02-02 | 日本電気株式会社 | データ処理装置、決定木生成方法、識別装置及びプログラム |
US20180158552A1 (en) | 2016-12-01 | 2018-06-07 | University Of Southern California | Interpretable deep learning framework for mining and predictive modeling of health care data |
Non-Patent Citations (1)
Title |
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藤巻遼平、本橋洋介,分析プロセス自動化・標準化への挑戦-実践に基づく考察-,情報処理学会デジタルプラクティス[online],日本,一般社団法人情報処理学会,2015年07月15日,Vol.6,No.3,pp.198-206,ISSN 2188-4390 |
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US20220148729A1 (en) | 2022-05-12 |
JPWO2020195147A1 (ja) | 2020-10-01 |
WO2020195147A1 (ja) | 2020-10-01 |
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