A TECHNIQUE FOR TRAINING A DEMENTIA IDENTIFICATION MODEL BASED ON A TEST RESULT DATA

According to some embodiments of the present disclosure, disclosed is a method for training a dementia identification model. The method may include: a step of acquiring test result data through at least one among a first task related to a stroop test, a second task related to a calculation ability,...

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Bibliographic Details
Main Authors KIM HO YUNG, KIM BO HEE, HWANG HYE BIN, KIM DONG HAN, PARK CHAN YEONG, KIM BO RI, CHOI JI AN, KIM GEON HA
Format Patent
LanguageEnglish
Korean
Published 10.08.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DIAGNOSIS
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Summary:According to some embodiments of the present disclosure, disclosed is a method for training a dementia identification model. The method may include: a step of acquiring test result data through at least one among a first task related to a stroop test, a second task related to a calculation ability, and a third task related to a memory test; and a step of labeling a score value on the test result data to train the dementia identification model. 본 개시의 몇몇 실시예에 의하면 치매 식별 모델을 학습시키는 방법이 개시된다. 상기 방법은: 스트루프 테스트(stroop test)와 관련된 제1 태스크(task), 계산력 테스트와 관련된 제2 태스크 및 기억력 테스트와 관련된 제3 태스크 중 적어도 하나를 통해 테스트 결과 데이터를 획득하는 단계; 및 상기 테스트 결과 데이터에 스코어 값을 라벨링하여 치매 식별 모델을 학습시키는 단계;를 포함할 수 있다.
Bibliography:Application Number: KR20220001427