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

• 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
• Language: English; 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

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.