JP2017516066A - 二次性副甲状腺機能亢進症のリスク因子を決定するためのシステムおよび方法 - Google Patents

二次性副甲状腺機能亢進症のリスク因子を決定するためのシステムおよび方法 Download PDF

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JP2017516066A
JP2017516066A JP2016549735A JP2016549735A JP2017516066A JP 2017516066 A JP2017516066 A JP 2017516066A JP 2016549735 A JP2016549735 A JP 2016549735A JP 2016549735 A JP2016549735 A JP 2016549735A JP 2017516066 A JP2017516066 A JP 2017516066A
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shpt
patient
risk factor
risk
computer system
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JP2017516066A5 (https=
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アルギュロポウロス,クリストス
クセノス,コンスタンティノス
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AbbVie Inc
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/74Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving hormones or other non-cytokine intercellular protein regulatory factors such as growth factors, including receptors to hormones and growth factors
    • G01N33/78Thyroid gland hormones, e.g. T3, T4, TBH, TBG or their receptors
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • G01N2800/04Endocrine or metabolic disorders
    • G01N2800/046Thyroid disorders
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • G01N2800/50Determining the risk of developing a disease
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Pathology (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Immunology (AREA)
  • General Health & Medical Sciences (AREA)
  • Hematology (AREA)
  • Endocrinology (AREA)
  • Urology & Nephrology (AREA)
  • Chemical & Material Sciences (AREA)
  • Biotechnology (AREA)
  • Food Science & Technology (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Microbiology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Cell Biology (AREA)
  • Medicinal Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
JP2016549735A 2014-02-04 2015-02-03 二次性副甲状腺機能亢進症のリスク因子を決定するためのシステムおよび方法 Withdrawn JP2017516066A (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201461935593P 2014-02-04 2014-02-04
US61/935,593 2014-02-04
US14/612,109 US20150220698A1 (en) 2014-02-04 2015-02-02 Systems and methods for determining secondary hyperparathyroidism risk factors
US14/612,109 2015-02-02
PCT/US2015/014188 WO2015119915A1 (en) 2014-02-04 2015-02-03 Systems and methods for determining secondary hyperparathyroidism risk factors

Publications (2)

Publication Number Publication Date
JP2017516066A true JP2017516066A (ja) 2017-06-15
JP2017516066A5 JP2017516066A5 (https=) 2018-03-01

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JP2016549735A Withdrawn JP2017516066A (ja) 2014-02-04 2015-02-03 二次性副甲状腺機能亢進症のリスク因子を決定するためのシステムおよび方法

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US (1) US20150220698A1 (https=)
EP (1) EP3102952A1 (https=)
JP (1) JP2017516066A (https=)
HK (1) HK1231557A1 (https=)
WO (1) WO2015119915A1 (https=)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021192163A (ja) * 2020-06-05 2021-12-16 株式会社コスミックコーポレーション 生体情報評価システム及び生体情報評価プログラム
JP2024527790A (ja) * 2021-07-29 2024-07-26 サイロスコープ インコーポレイテッド 被験者の甲状腺機能異常症を予測するための方法及びシステム

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10796802B1 (en) * 2015-05-01 2020-10-06 Cerner Innovations, Inc. Computer decision support for determining surgery candidacy in stage four chronic kidney disease
US10600067B2 (en) * 2016-06-16 2020-03-24 Accenture Global Solutions Limited Demographic based adjustment of data processing decision results
US11026625B2 (en) * 2017-08-08 2021-06-08 Fresenius Medical Care Holdings, Inc. Systems and methods for treating and estimating progression of chronic kidney disease
US11238989B2 (en) * 2017-11-08 2022-02-01 International Business Machines Corporation Personalized risk prediction based on intrinsic and extrinsic factors
EP4115815A4 (en) * 2020-03-27 2023-08-09 TERUMO Kabushiki Kaisha Biological function estimation device and biological function estimation method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021192163A (ja) * 2020-06-05 2021-12-16 株式会社コスミックコーポレーション 生体情報評価システム及び生体情報評価プログラム
JP2024527790A (ja) * 2021-07-29 2024-07-26 サイロスコープ インコーポレイテッド 被験者の甲状腺機能異常症を予測するための方法及びシステム
JP7556660B2 (ja) 2021-07-29 2024-09-26 サイロスコープ インコーポレイテッド 被験者の甲状腺機能異常症を予測するための方法及びシステム

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HK1231557A1 (zh) 2017-12-22
US20150220698A1 (en) 2015-08-06
EP3102952A1 (en) 2016-12-14
WO2015119915A1 (en) 2015-08-13

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