CN106462662B - 用于基于病例难度的计算机辅助患者分层的方法和系统 - Google Patents

用于基于病例难度的计算机辅助患者分层的方法和系统 Download PDF

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CN106462662B
CN106462662B CN201580024701.1A CN201580024701A CN106462662B CN 106462662 B CN106462662 B CN 106462662B CN 201580024701 A CN201580024701 A CN 201580024701A CN 106462662 B CN106462662 B CN 106462662B
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CN106462662A (zh
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L·博罗茨基
李俊杰
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Koninklijke Philips NV
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    • 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
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CN201580024701.1A 2014-05-12 2015-04-16 用于基于病例难度的计算机辅助患者分层的方法和系统 Active CN106462662B (zh)

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US201461991646P 2014-05-12 2014-05-12
US61/991,646 2014-05-12
PCT/IB2015/052775 WO2015173675A1 (en) 2014-05-12 2015-04-16 Method and system for computer-aided patient stratification based on case difficulty

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JP6882216B2 (ja) * 2018-02-28 2021-06-02 富士フイルム株式会社 診断支援システム、診断支援方法、及びプログラム
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CN110148465B (zh) * 2019-05-10 2023-07-04 中山大学孙逸仙纪念医院 一种用于分析类风湿性关节炎的系统
US20200401887A1 (en) * 2019-06-18 2020-12-24 Budi Kusnoto Method and system for automatically deriving quantitative deep learning best value index data
CN111568393B (zh) * 2020-05-10 2023-05-12 张东 一种基于人工智能的个体化中医脉诊系统
JP7415787B2 (ja) * 2020-05-15 2024-01-17 コニカミノルタ株式会社 医用画像システム
JP7443929B2 (ja) * 2020-05-25 2024-03-06 コニカミノルタ株式会社 医療診断支援装置、医療診断支援プログラム、および医療診断支援方法
DE102020212318A1 (de) * 2020-09-30 2022-03-31 Siemens Healthcare Gmbh Fallpriorisierung für ein medizinisches System
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JP2017515574A (ja) 2017-06-15
RU2016148690A (ru) 2018-06-19
US10585940B2 (en) 2020-03-10
EP3143534A1 (en) 2017-03-22
US20170061087A1 (en) 2017-03-02
RU2687760C2 (ru) 2019-05-16
WO2015173675A1 (en) 2015-11-19
RU2016148690A3 (enExample) 2018-11-19
CN106462662A (zh) 2017-02-22
JP6559707B2 (ja) 2019-08-14

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