JP2014506150A5 - - Google Patents

Download PDF

Info

Publication number
JP2014506150A5
JP2014506150A5 JP2013543931A JP2013543931A JP2014506150A5 JP 2014506150 A5 JP2014506150 A5 JP 2014506150A5 JP 2013543931 A JP2013543931 A JP 2013543931A JP 2013543931 A JP2013543931 A JP 2013543931A JP 2014506150 A5 JP2014506150 A5 JP 2014506150A5
Authority
JP
Japan
Prior art keywords
patient
patients
data
population
risk
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2013543931A
Other languages
English (en)
Japanese (ja)
Other versions
JP6034800B2 (ja
JP2014506150A (ja
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/IB2011/055584 external-priority patent/WO2012085743A2/en
Publication of JP2014506150A publication Critical patent/JP2014506150A/ja
Publication of JP2014506150A5 publication Critical patent/JP2014506150A5/ja
Application granted granted Critical
Publication of JP6034800B2 publication Critical patent/JP6034800B2/ja
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2013543931A 2010-12-20 2011-12-09 アルツハイマー病へ進行するリスクのある軽度認知障害患者を識別する方法およびシステム Expired - Fee Related JP6034800B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201061424829P 2010-12-20 2010-12-20
US61/424,829 2010-12-20
PCT/IB2011/055584 WO2012085743A2 (en) 2010-12-20 2011-12-09 Methods and systems for identifying patients with mild cognitive impairment at risk of converting to alzheimer's

Publications (3)

Publication Number Publication Date
JP2014506150A JP2014506150A (ja) 2014-03-13
JP2014506150A5 true JP2014506150A5 (enExample) 2015-08-20
JP6034800B2 JP6034800B2 (ja) 2016-11-30

Family

ID=45478401

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2013543931A Expired - Fee Related JP6034800B2 (ja) 2010-12-20 2011-12-09 アルツハイマー病へ進行するリスクのある軽度認知障害患者を識別する方法およびシステム

Country Status (6)

Country Link
US (1) US9367817B2 (enExample)
EP (1) EP2656257A2 (enExample)
JP (1) JP6034800B2 (enExample)
CN (1) CN103392183B (enExample)
RU (1) RU2603601C2 (enExample)
WO (1) WO2012085743A2 (enExample)

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9152918B1 (en) * 2012-01-10 2015-10-06 Cerner Innovation, Inc. Resource forecasting using Bayesian model reduction
US9275334B2 (en) * 2012-04-06 2016-03-01 Applied Materials, Inc. Increasing signal to noise ratio for creation of generalized and robust prediction models
WO2015018517A1 (en) * 2013-08-05 2015-02-12 Mr. PD Dr. NIKOLAOS KOUTSOULERIS Adaptive pattern recognition for psychosis risk modelling
US20150269355A1 (en) * 2014-03-19 2015-09-24 Peach Intellihealth, Inc. Managing allocation of health-related expertise and resources
CN105096294B (zh) 2014-04-30 2019-01-18 西门子医疗保健诊断公司 用于对尿液沉渣图像的待处理区块进行区块检索的方法和装置
CN104031139B (zh) * 2014-06-06 2016-05-04 西安交通大学医学院第一附属医院 用于阿尔茨海默病pet成像的正电子药物及其制备方法
US11037070B2 (en) * 2015-04-29 2021-06-15 Siemens Healthcare Gmbh Diagnostic test planning using machine learning techniques
JP6207547B2 (ja) * 2015-05-18 2017-10-04 国立大学法人東北大学 認知症の程度を判定するための方法、システム及びプログラム
EP3451919A4 (en) * 2016-05-05 2019-12-18 Bestbrain Ltd. NERVOUS FEEDBACK SYSTEMS AND METHODS
CN109831923A (zh) * 2016-09-28 2019-05-31 公益财团法人神户医疗产业都市推进机构 痴呆症介护负担程度判断装置、痴呆症介护负担程度判断方法、痴呆症介护负担程度判断程序、痴呆症治疗效果判断装置、痴呆症治疗效果判断方法、痴呆症治疗效果判断程序
JP6845716B2 (ja) * 2017-03-14 2021-03-24 一般社団法人脳と心の健康科学研究所 生体機能についての医学的検査の得点判定装置、及びプログラム
JP6791361B2 (ja) * 2017-03-30 2020-11-25 日本電気株式会社 情報処理装置と方法とプログラム
CN108256422B (zh) * 2017-12-07 2021-11-09 广东技术师范大学 基于高斯过程分类的阿尔茨海默症分类方法、系统及装置
KR102064811B1 (ko) * 2018-01-19 2020-01-13 사회복지법인 삼성생명공익재단 아밀로이드 양성 경도인지장애 환자의 치매 진행을 예측하여 분류하는 방법 및 장치
JP6483890B1 (ja) * 2018-04-27 2019-03-13 国立大学法人滋賀医科大学 診断支援装置、機械学習装置、診断支援方法、機械学習方法および機械学習プログラム
WO2020061072A1 (en) * 2018-09-18 2020-03-26 Vivid Genomics, Inc. Method of characterizing a neurodegenerative pathology
CN110944232B (zh) * 2018-09-21 2021-11-19 中国移动通信有限公司研究院 一种监测认知行为的方法、装置及机顶盒
WO2020092316A1 (en) 2018-10-29 2020-05-07 Flatiron Health, Inc. Generalized biomarker model
JP7313165B2 (ja) * 2019-03-18 2023-07-24 株式会社Erisa アルツハイマー病生存分析装置及びアルツハイマー病生存分析プログラム
EP3955801A1 (en) * 2019-04-15 2022-02-23 Janssen Pharmaceutica NV System and method for detecting cognitive decline using speech analysis
CN110164524A (zh) * 2019-04-29 2019-08-23 北京国润健康医学投资有限公司 一种偏瘫患者康复训练任务自适应匹配方法及其系统
WO2021108390A1 (en) * 2019-11-27 2021-06-03 University Of Pittsburgh - Of The Commonwealth System Of Higher Education System, method, and computer program product for detecting and responding to patient neuromorbidity
JP7334958B2 (ja) * 2019-12-09 2023-08-29 学校法人帝京大学 判定装置、判定方法及び判定プログラム
CN111202526A (zh) * 2020-01-20 2020-05-29 华东医院 对多维度老年听觉功能评估系统进行精简优化的方法
US11599800B2 (en) * 2020-01-28 2023-03-07 Color Genomics, Inc. Systems and methods for enhanced user specific predictions using machine learning techniques
US20230042243A1 (en) 2020-12-09 2023-02-09 MS Technologies System and method for early diagnostics and prognostics of mild cognitive impairment using hybrid machine learning
US11651862B2 (en) 2020-12-09 2023-05-16 MS Technologies System and method for diagnostics and prognostics of mild cognitive impairment using deep learning
CN117195027A (zh) * 2023-09-08 2023-12-08 盐城工学院 基于成员选择的簇加权聚类集成方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2001278097A1 (en) 2000-07-31 2002-02-13 The Institute For Systems Biology Multiparameter analysis for predictive medicine
US7347818B2 (en) 2003-02-24 2008-03-25 Neurotrax Corporation Standardized medical cognitive assessment tool
US7311666B2 (en) 2004-07-10 2007-12-25 Trigeminal Solutions, Inc. Apparatus for collecting information
US20060099624A1 (en) 2004-10-18 2006-05-11 Wang Lu-Yong System and method for providing personalized healthcare for alzheimer's disease
US8208697B2 (en) * 2004-12-17 2012-06-26 Koninklijke Philips Electronics N.V. Method and apparatus for automatically developing a high performance classifier for producing medically meaningful descriptors in medical diagnosis imaging
CN101443780A (zh) * 2004-12-30 2009-05-27 普罗文蒂斯公司 用于开发和使用用于预测多种医学结果、评价介入策略以及同时验证生物标志物诱因的预测模型的方法、系统和计算机程序产品
US9335331B2 (en) 2005-04-11 2016-05-10 Cornell Research Foundation, Inc. Multiplexed biomarkers for monitoring the Alzheimer's disease state of a subject
JP2008538007A (ja) 2005-04-15 2008-10-02 ベクトン，ディッキンソン アンド カンパニー 敗血症の診断
CN101208602A (zh) * 2005-04-15 2008-06-25 贝克顿迪金森公司 脓毒症的诊断
WO2006135368A1 (en) 2005-06-10 2006-12-21 The Trustrees Of Columbia University In The City Of New York Olfactory identification tests for cognitive diseases and disorders
WO2007149985A2 (en) * 2006-06-21 2007-12-27 Lexicor Medical Technology, Llc Assessing dementia and dementia-type disorders
US8126690B2 (en) 2007-05-18 2012-02-28 The Regents Of The University Of Michigan Algorithms to predict clinical response, adherence, and shunting with thiopurines
CA2737485A1 (en) * 2008-10-10 2010-04-15 Mount Sinai Hospital Methods for classifying samples based on network modularity
CA2782284A1 (en) * 2009-11-30 2011-06-03 Caris Life Sciences Luxembourg Holdings, S.A.R.L. Methods and systems for isolating, storing, and analyzing vesicles

Similar Documents

Publication Publication Date Title
JP6034800B2 (ja) アルツハイマー病へ進行するリスクのある軽度認知障害患者を識別する方法およびシステム
Nasseroleslami et al. Characteristic increases in EEG connectivity correlate with changes of structural MRI in amyotrophic lateral sclerosis
Bosl et al. EEG analytics for early detection of autism spectrum disorder: a data-driven approach
EP3766042B1 (en) Systems and methods for generating biomarkers based on multivariate mri and multimodality classifiers for disorder diagnosis
CN105793852B (zh) 具有海量医疗分析的医疗处理计算机规划方法和系统
McBride et al. Spectral and complexity analysis of scalp EEG characteristics for mild cognitive impairment and early Alzheimer's disease
US20150339442A1 (en) Computational medical treatment plan method and system with mass medical analysis
EP3901963B1 (en) Method and device for estimating early progression of dementia from human head images
Li et al. LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortality
Escudero et al. Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-means
Adra et al. Optimal spindle detection parameters for predicting cognitive performance
CN105517488A (zh) 用于评估、诊断和/或监测心脏健康的装置与方法
WO2023240056A1 (en) System and method for mental diagnosis using eeg
Falach et al. Annotated interictal discharges in intracranial EEG sleep data and related machine learning detection scheme
Badjatia et al. Machine learning approaches to prognostication in traumatic brain injury
Mostile et al. Testing machine learning algorithms to evaluate fluctuating and cognitive profiles in Parkinson’s disease by motion sensors and EEG data
Miyazaki et al. Inferring amyloid pathologies among patients with mild cognitive impairment using phase‒amplitude coupling of electroencephalography: A case‒control study
US12569185B2 (en) Systems and methods for subject assessment
EP4044193A1 (en) Psychological state monitoring system
JP2023545704A (ja) エクスポソーム臨床応用のためのシステム及び方法
Zhang et al. Growth charts for individualized evaluation of brain morphometry for preschool children
Aykut et al. Diagnosing retinal disorders with artificial intelligence: the role of large language models in interpreting pattern electroretinography data
Simfukwe et al. Difference between eyes-open and eyes-closed resting state quantitative electroencephalography (qEEG) for predicting cognitive impairment using deep learning
Liang et al. Construction of a mild cognitive impairment prediction model for Parkinson’s disease patients on the basis of multimodal data
Kong et al. Electroencephalography functional network for screening amyloid positivity in mild cognitive impairment: a cross-sectional study