KR102480150B9 - 3 Disease occurrence prediction system and method using three-dimensional multichannel data - Google Patents

3 Disease occurrence prediction system and method using three-dimensional multichannel data

Info

Publication number
KR102480150B9
KR102480150B9 KR1020210063753A KR20210063753A KR102480150B9 KR 102480150 B9 KR102480150 B9 KR 102480150B9 KR 1020210063753 A KR1020210063753 A KR 1020210063753A KR 20210063753 A KR20210063753 A KR 20210063753A KR 102480150 B9 KR102480150 B9 KR 102480150B9
Authority
KR
South Korea
Prior art keywords
prediction system
multichannel data
occurrence prediction
disease occurrence
dimensional multichannel
Prior art date
Application number
KR1020210063753A
Other languages
Korean (ko)
Other versions
KR20220156681A (en
KR102480150B1 (en
Inventor
김경남
민충기
박서진
Original Assignee
주식회사 웨이센
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 주식회사 웨이센 filed Critical 주식회사 웨이센
Priority to KR1020210063753A priority Critical patent/KR102480150B1/en
Publication of KR20220156681A publication Critical patent/KR20220156681A/en
Application granted granted Critical
Publication of KR102480150B1 publication Critical patent/KR102480150B1/en
Publication of KR102480150B9 publication Critical patent/KR102480150B9/en

Links

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
    • G16H50/50—ICT 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • 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
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Primary Health Care (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
KR1020210063753A 2021-05-18 2021-05-18 Disease occurrence prediction system and method using three-dimensional multichannel data KR102480150B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020210063753A KR102480150B1 (en) 2021-05-18 2021-05-18 Disease occurrence prediction system and method using three-dimensional multichannel data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020210063753A KR102480150B1 (en) 2021-05-18 2021-05-18 Disease occurrence prediction system and method using three-dimensional multichannel data

Publications (3)

Publication Number Publication Date
KR20220156681A KR20220156681A (en) 2022-11-28
KR102480150B1 KR102480150B1 (en) 2022-12-23
KR102480150B9 true KR102480150B9 (en) 2023-02-23

Family

ID=84236917

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020210063753A KR102480150B1 (en) 2021-05-18 2021-05-18 Disease occurrence prediction system and method using three-dimensional multichannel data

Country Status (1)

Country Link
KR (1) KR102480150B1 (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101903526B1 (en) 2015-08-19 2018-10-05 한국전자통신연구원 Disease forecast device based on concentration information of biomaterial and forecasting method thereof
KR101944859B1 (en) * 2017-04-27 2019-02-01 (주)빅데이터연구소 System for analyzing and predecting disease
KR102043341B1 (en) * 2018-01-08 2019-11-12 고려대학교 세종산학협력단 Method and system for noise-robust sound-based respiratory disease detection
KR102204958B1 (en) 2019-10-28 2021-01-20 삼성에스디에스 주식회사 Processing method for result of medical examination

Also Published As

Publication number Publication date
KR20220156681A (en) 2022-11-28
KR102480150B1 (en) 2022-12-23

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GRNT Written decision to grant
G170 Re-publication after modification of scope of protection [patent]