METHOD SYSTEM AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ANALYZING SCALP BY USING MACHINE LEARNING MODEL

According to one aspect of the present invention, there is provided a method for analyzing a scalp by using a machine learning model, which comprises the steps of: generating first analysis data on the scalp of a subject by analyzing an image of the scalp of the subject using a machine learning-base...

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Hauptverfasser: MOON, YOUNG RAN, MUN, OE SUK
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description According to one aspect of the present invention, there is provided a method for analyzing a scalp by using a machine learning model, which comprises the steps of: generating first analysis data on the scalp of a subject by analyzing an image of the scalp of the subject using a machine learning-based analysis model which is learned based on learning data relating to at least one scalp image; generating second analysis data on the scalp of the subject by referencing at least one kind of sensing data measured from the scalp of the subject and questionnaire data of at least one item collected from the subject; and generating third analysis data on the scalp of the subject by referencing the first analysis data and the second analysis data. 본 발명의 일 태양에 따르면, 머신 러닝 모델을 이용하여 두피를 분석하기 위한 방법으로서, 적어도 하나의 두피 이미지에 관한 학습 데이터에 기초하여 학습되는 머신 러닝 기반 분석 모델을 이용하여 피측정자의 두피 이미지를 분석함으로써, 상기 피측정자의 두피에 대한 제1 분석 데이터를 생성하는 단계, 상기 피측정자의 두피로부터 측정되는 적어도 한 종류의 센싱 데이터 및 상기 피측정자로부터 수집되는 적어도 한 항목의 문진 데이터 중 적어도 하나를 참조하여, 상기 피측정자의 두피에 대한 제2 분석 데이터를 생성하는 단계, 및 상기 제1 분석 데이터 및 상기 제2 분석 데이터를 참조하여 상기 피측정자의 두피에 대한 제3 분석 데이터를 생성하는 단계를 포함하는 방법이 제공된다.
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subjects 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
title METHOD SYSTEM AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ANALYZING SCALP BY USING MACHINE LEARNING MODEL
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