[go: up one dir, main page]

CL2009002011A1 - Un metodo para determinar procedimientos cuyo substrato es la plasticidad neuronal, en una base de datos con informacion referente a una pluralidad de usuarios relativos a tareas a realizar o experimentar con sus respuestas, para la realizacion de dichas tareas por parte de dichos usuarios. - Google Patents

Un metodo para determinar procedimientos cuyo substrato es la plasticidad neuronal, en una base de datos con informacion referente a una pluralidad de usuarios relativos a tareas a realizar o experimentar con sus respuestas, para la realizacion de dichas tareas por parte de dichos usuarios.

Info

Publication number
CL2009002011A1
CL2009002011A1 CL2009002011A CL2009002011A CL2009002011A1 CL 2009002011 A1 CL2009002011 A1 CL 2009002011A1 CL 2009002011 A CL2009002011 A CL 2009002011A CL 2009002011 A CL2009002011 A CL 2009002011A CL 2009002011 A1 CL2009002011 A1 CL 2009002011A1
Authority
CL
Chile
Prior art keywords
tasks
users
database
performance
meta
Prior art date
Application number
CL2009002011A
Other languages
English (en)
Inventor
Alejandro Garcia Rudolph Sr
Eloy Opisso Salleras Sr
Maria Teresa Roig Rovira Sra
Jose Maria Tormos Muñoz Sr
Original Assignee
Fundacio Inst Guttmann
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Fundacio Inst Guttmann filed Critical Fundacio Inst Guttmann
Publication of CL2009002011A1 publication Critical patent/CL2009002011A1/es

Links

Classifications

    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Hospice & Palliative Care (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Developmental Disabilities (AREA)
  • Educational Technology (AREA)
  • Child & Adolescent Psychology (AREA)
  • Psychiatry (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

UN MÉTODO PARA GUIAR A UN TERAPEUTA DE FORMA SEGURA EN EL DISEÑO Y PRESCRIPCIÓN DE TRATAMIENTOS QUE COMPORTEN UNA TAREAS EN PROCEDIMIENTOS CUYO SUBSTRATO ES LA PLASTICIDAD NEURONA(, DEL TIPO QUE COMPRENDE GENERAR Y UTILIZAR UNA BASE DE DATOS CON INFORMACIÓN REFERENTE A UNA PLURALIDAD DE USUARIOS OBJETO DE UN TRATAMIENTO DE NEUROREHABILITACIÓN, AL MENOS RELATIVA A UNA TAREAS A REALIZAR O EXPERIMENTAR POR DICHOS USUARIOS Y A LAS RESPUESTAS O RESULTADOS DE LA REALIZACIÓN DE DICHAS TAREAS POR PARTE DE DICHOS USUARIOS, QUE COMPRENDE A) GENERAR AL MENOS DOS GRUPOS DE PREDICCIONES CANDIDATAS RELATIVAS A POSIBLES TAREAS, REALIZANDO AL MENOS DOS ETAPAS DE CLASIFICACIÓN BASADA EN AL MENOS REGLAS HEURÍSTICAS SOBRE LA INFORMACIÓN DE DICHA BASE DE DATOS, CONSIDERADA COMO CONSTITUYENTE DE UNOS DATOS DE ENTRENAMIENTO BÁSICOS; B) GENERAR A PARTIR DE AL MENOS DICHOS DOS GRUPOS DE PREDICCIONES CANDIDATAS UN CONJUNTO DE DATOS DE ENTRENAMIENTO EN META-NIVEL; C) REALIZAR UNA META-CLASIFICACIÓN BASADA EN AL MENOS REGLAS HEURÍSTICAS SOBRE DICHO CONJUNTO DE DATOS DE ENTRENAMIENTO EN META-NIVEL; Y D) DETERMINAR UN GRUPO DE PREDICCIONES ÓPTIMAS EN BASE A LOS RESULTADOS DE DICHA ETAPA C), SELECCIONANDO UNO DE DICHOS GRUPOS DE PREDICCIONES CANDIDATAS OBTENIDO EN LA ETAPA A), O BIEN COMBINÁNDOLOS ENTRE SÍ.
CL2009002011A 2008-10-31 2009-10-30 Un metodo para determinar procedimientos cuyo substrato es la plasticidad neuronal, en una base de datos con informacion referente a una pluralidad de usuarios relativos a tareas a realizar o experimentar con sus respuestas, para la realizacion de dichas tareas por parte de dichos usuarios. CL2009002011A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/ES2008/000677 WO2010049547A1 (es) 2008-10-31 2008-10-31 Método y sistema para guiar de forma segura unas intervenciones en procedimientos cuyo substrato es la plasticidad neuronal

Publications (1)

Publication Number Publication Date
CL2009002011A1 true CL2009002011A1 (es) 2010-12-24

Family

ID=42128288

Family Applications (1)

Application Number Title Priority Date Filing Date
CL2009002011A CL2009002011A1 (es) 2008-10-31 2009-10-30 Un metodo para determinar procedimientos cuyo substrato es la plasticidad neuronal, en una base de datos con informacion referente a una pluralidad de usuarios relativos a tareas a realizar o experimentar con sus respuestas, para la realizacion de dichas tareas por parte de dichos usuarios.

Country Status (8)

Country Link
US (2) US20110213213A1 (es)
EP (1) EP2351523A4 (es)
AR (1) AR075292A1 (es)
AU (1) AU2008363525B2 (es)
BR (1) BRPI0823183B8 (es)
CA (1) CA2742197A1 (es)
CL (1) CL2009002011A1 (es)
WO (1) WO2010049547A1 (es)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103426007B (zh) * 2013-08-29 2016-12-28 人民搜索网络股份公司 一种机器学习分类方法及装置
KR102601848B1 (ko) 2015-11-25 2023-11-13 삼성전자주식회사 데이터 인식 모델 구축 장치 및 방법과 데이터 인식 장치
CN112270441A (zh) * 2020-10-30 2021-01-26 华东师范大学 建立自闭症儿童康复效果预测模型的方法、预测自闭症儿童康复效果的方法及系统

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3231810B2 (ja) * 1990-08-28 2001-11-26 アーチ・デベロップメント・コーポレーション ニューラル・ネットワークを用いた鑑別診断支援方法
US5711671A (en) 1994-07-08 1998-01-27 The Board Of Regents Of Oklahoma State University Automated cognitive rehabilitation system and method for treating brain injured patients
US6280198B1 (en) * 1999-01-29 2001-08-28 Scientific Learning Corporation Remote computer implemented methods for cognitive testing
US6964638B2 (en) * 2000-01-31 2005-11-15 Pan Medix, Inc. Measuring cognitive impairment
AU2001231083A1 (en) * 2000-03-27 2001-10-08 Panmedix Incorporated Measuring cognitive impairment
DE20006108U1 (de) * 2000-03-31 2000-12-14 Bremer, Udo, Dipl.-Ing., 59379 Selm Elektronisches System zur Anleitung von Trainierenden
US6632174B1 (en) * 2000-07-06 2003-10-14 Cognifit Ltd (Naiot) Method and apparatus for testing and training cognitive ability
US7194301B2 (en) * 2003-10-06 2007-03-20 Transneuronic, Inc. Method for screening and treating patients at risk of medical disorders
WO2006044017A2 (en) * 2004-08-13 2006-04-27 Jaguar Bioscience Inc. Systems and methods for identifying diagnostic indicators
US9189596B2 (en) * 2005-06-29 2015-11-17 National Ict Australia Limited Measuring cognitive load
US20070123757A1 (en) * 2005-10-24 2007-05-31 Chervinsky Alexander B Neuropsychological assessment platform (NPAP) and method
WO2007079181A2 (en) * 2005-12-28 2007-07-12 Neurovista Corporation Methods and systems for recommending an action to a patient for managing epilepsy and other neurological disorders
US8069055B2 (en) * 2006-02-09 2011-11-29 General Electric Company Predictive scheduling for procedure medicine
CN1846613A (zh) * 2006-05-10 2006-10-18 张晓辉 一种计算机智能心理测试辅导方法
US7899625B2 (en) * 2006-07-27 2011-03-01 International Business Machines Corporation Method and system for robust classification strategy for cancer detection from mass spectrometry data
US8540516B2 (en) * 2006-11-27 2013-09-24 Pharos Innovations, Llc Optimizing behavioral change based on a patient statistical profile

Also Published As

Publication number Publication date
BRPI0823183A2 (pt) 2016-07-26
AU2008363525B2 (en) 2016-01-28
AU2008363525A1 (en) 2010-05-06
US20140205978A1 (en) 2014-07-24
BRPI0823183B1 (pt) 2020-09-15
EP2351523A1 (en) 2011-08-03
EP2351523A4 (en) 2014-08-27
AR075292A1 (es) 2011-03-23
BRPI0823183B8 (pt) 2021-06-22
WO2010049547A1 (es) 2010-05-06
CA2742197A1 (en) 2010-05-06
US20110213213A1 (en) 2011-09-01

Similar Documents

Publication Publication Date Title
Sulmon et al. Abiotic stressors and stress responses: What commonalities appear between species across biological organization levels?
Postlewait Theatre Historiography
CL2012000212A1 (es) Sistema y metodo para inferir un contexto de usuario de ubicacion especifica a partir de los datos de usuario almacenados en memoria que describen actividades y comunicaciones del usuario.
ECSP18079192A (es) Sistemas y métodos para proporcionar una verificación de identidad personal multifactorial basada en una cadena de bloques
CO6331372A2 (es) Inhibidor de parp 4-yodo-3-nitrobenzamida o un metabolito de la misma
BR112017021628A2 (pt) dispositivo de desafio de processo para reprocessador de endoscópio automatizado
CL2008000867A1 (es) Un metodo y aparato para generar un modelo de un objeto.
IN2014CN05002A (es)
CL2009002011A1 (es) Un metodo para determinar procedimientos cuyo substrato es la plasticidad neuronal, en una base de datos con informacion referente a una pluralidad de usuarios relativos a tareas a realizar o experimentar con sus respuestas, para la realizacion de dichas tareas por parte de dichos usuarios.
EA201990920A1 (ru) Способ и система для запоминания биоинформационных данных и доступа к ним
AR068671A1 (es) Metodo para analizar datos de procesos industriales
BR112014011584A2 (pt) processo de afugentamento visual de espécies animais, dispositivo de afugentamento visual de espécies animais, máquina móvel e estrutura fixa
ES2721178T3 (es) Firma molecular de manchas cutáneas pigmentarias, asociada con la organización de la matriz extracelular
Smith Ten lectures on basic science of laser phototherapy
Mumford New approaches for the early detection of tree health pests and pathogens
DIAZ RAMIREZ et al. A DEEP LOOK INTO LANGUAGES AND RESEARCH
Anashkina Teaching Cultural Diversity through Fictional Discourse
ES2401143R1 (es) Discriminacion de individuos a partir de tejido oseo utilizando espectroscopia de ablacion laser y procesamientos matematicos.
Keser Identifying mental models in physics
서효정 The effects of the Self-Determined Learning Model of Instruction on academic performance of students with high-incidence disabilities
Hu et al. The Construction of CVIPP Evaluation Model and Performance Indicators on Adult Educational Organizations In Taiwan
Eastman et al. The Influencers of Time Perspective, Personality, and Cognitive Age on Sustainability Behaviors for Older Americans
Moghadami et al. The relationship between science indicator and life expectancy in pioneer countries
Zhang et al. The word-of-mouth effects on the intention of Chinese customers to select an international medical tourism destination
Bonchek The Premedical curriculum, arTificial inTelligence, and how The mind works