MX2023003379A - Sistema, metodos y aparato de prediccion de aprendizaje de maquina de enfermedad renal cronica (erc). - Google Patents

Sistema, metodos y aparato de prediccion de aprendizaje de maquina de enfermedad renal cronica (erc).

Info

Publication number
MX2023003379A
MX2023003379A MX2023003379A MX2023003379A MX2023003379A MX 2023003379 A MX2023003379 A MX 2023003379A MX 2023003379 A MX2023003379 A MX 2023003379A MX 2023003379 A MX2023003379 A MX 2023003379A MX 2023003379 A MX2023003379 A MX 2023003379A
Authority
MX
Mexico
Prior art keywords
ckd
machine learning
chronic kidney
prediction system
kidney disease
Prior art date
Application number
MX2023003379A
Other languages
English (en)
Inventor
Eric David Noshay
Annalisa Daniele
Angela Sofia Rivera Florez
Yukun Chen
Michael Seeber
Original Assignee
Baxter Int
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 Baxter Int filed Critical Baxter Int
Publication of MX2023003379A publication Critical patent/MX2023003379A/es

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Classifications

    • 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
    • G16H50/30—ICT 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
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/20—Measuring for diagnostic purposes; Identification of persons for measuring urological functions restricted to the evaluation of the urinary system
    • A61B5/201—Assessing renal or kidney functions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Pathology (AREA)
  • Data Mining & Analysis (AREA)
  • Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Databases & Information Systems (AREA)
  • Urology & Nephrology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Software Systems (AREA)
  • Biophysics (AREA)
  • Evolutionary Computation (AREA)
  • Physiology (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Fuzzy Systems (AREA)
  • Signal Processing (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Psychiatry (AREA)
  • External Artificial Organs (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

Se describe un sistema de predicción de aprendizaje de máquina de enfermedad renal crónica ("ERC") el sistema ejemplar está configurado para proporcionar una proyección en cuanto a si un paciente puede progresar una siguiente etapa de ERC y/o si el paciente puede necesitar iniciar urgentemente la diálisis. Los algoritmos de aprendizaje de máquina descritos en la presente incluyen algoritmos predictivos multifactoriales, dinámicos que se programan para considerar los factores clínicos, farmacológicos y extra-clínicos que impactan adversamente la función renal. Las predicciones proporcionadas por el sistema de aprendizaje de máquina llevan información a los médicos para mejorar el tratamiento de ERC antes de que la enfermedad empeore. En algunos casos, las predicciones se pueden usar para seleccionar un plan de tratamiento, un tratamiento de diálisis y/o una terapia de reemplazo renal ("RRT").
MX2023003379A 2020-09-23 2021-09-22 Sistema, metodos y aparato de prediccion de aprendizaje de maquina de enfermedad renal cronica (erc). MX2023003379A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202063082017P 2020-09-23 2020-09-23
PCT/US2021/051443 WO2022066698A1 (en) 2020-09-23 2021-09-22 Chronic kidney disease (ckd) machine learning prediction system, methods, and apparatus

Publications (1)

Publication Number Publication Date
MX2023003379A true MX2023003379A (es) 2023-03-31

Family

ID=78414729

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2023003379A MX2023003379A (es) 2020-09-23 2021-09-22 Sistema, metodos y aparato de prediccion de aprendizaje de maquina de enfermedad renal cronica (erc).

Country Status (9)

Country Link
US (1) US20220093261A1 (es)
EP (1) EP4218022A1 (es)
JP (1) JP2023542928A (es)
CN (1) CN116210058A (es)
AU (1) AU2021347822A1 (es)
BR (1) BR112023004441A2 (es)
CA (1) CA3194057A1 (es)
MX (1) MX2023003379A (es)
WO (1) WO2022066698A1 (es)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115376698B (zh) * 2022-10-25 2023-04-11 北京鹰瞳科技发展股份有限公司 用于对眼底疾病的演进进行预测的装置、方法和存储介质
CN117727459A (zh) * 2024-02-18 2024-03-19 中国人民解放军总医院第一医学中心 慢性肾病5期合并2型糖尿病的透析时机预测方法及系统

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016083374A1 (en) * 2014-11-25 2016-06-02 F. Hoffmann-La Roche Ag Biomarkers of fast progression of chronic kidney disease
US10531837B1 (en) * 2015-09-25 2020-01-14 Cerner Innovation, Inc. Predicting chronic kidney disease progression
CN111033637B (zh) * 2017-08-08 2023-12-05 费森尤斯医疗保健控股公司 用于治疗和评估慢性肾脏疾病的进程的系统和方法

Also Published As

Publication number Publication date
AU2021347822A1 (en) 2023-04-20
EP4218022A1 (en) 2023-08-02
JP2023542928A (ja) 2023-10-12
BR112023004441A2 (pt) 2023-04-11
US20220093261A1 (en) 2022-03-24
WO2022066698A1 (en) 2022-03-31
CN116210058A (zh) 2023-06-02
CA3194057A1 (en) 2022-03-31

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