AUTISM DIAGNOSIS SYSTEM USING ARTIFICIAL INTELLIGENCE BASED ON MULTI-INDICATOR

The present invention relates to an autism diagnosis system using multi-indicator-based artificial intelligence, which includes: a user interface which obtains speech data obtained from a subject, image data obtained by capturing an image of the subject, and childhood autism rating scale (CARS) data...

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Bibliographische Detailangaben
Hauptverfasser: YOO JOO HUN, JEONG HA RIM, CHUNG TAI MYOUNG, JOUNG YOO SOOK
Format: Patent
Sprache:eng ; kor
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Beschreibung
Zusammenfassung:The present invention relates to an autism diagnosis system using multi-indicator-based artificial intelligence, which includes: a user interface which obtains speech data obtained from a subject, image data obtained by capturing an image of the subject, and childhood autism rating scale (CARS) data of the subject; and a server configured to transmit and receive data by communicating with the user interface and configured to determine a degree of autism disorder through ensemble analysis using a plurality of artificial intelligences. Therefore, loss of data features which may occur from high-dimensional data analysis is minimized. 본 발명은, 대상자로부터 획득한 음성 데이터, 대상자를 촬영한 영상을 획득한 영상 데이터 및 대상자의 아동기 자폐증 평정척도 데이터(CARS; Childhood Autism Rating Scale)를 획득하는 사용자 인터페이스 및 사용자 인터페이스와 통신하여 데이터를 송수신할 수 있도록 구성되며, 복수의 인공지능을 이용한 앙상블(Ensemble) 분석으로 자폐증 장애 정도를 판단할 수 있도록 구성되는 서버를 포함하는 다중지표 기반 인공지능을 이용한 자폐증 진단 시스템에 관한 것이다.