ARTIFICIAL INTELLIGENCE-BASED DISEASE PREDICTION METHOD, PROGRAM, AND DEVICE

Disclosed, according to one embodiment of the present disclosure, are an artificial intelligence-based disease prediction method performed by a computing device, a program, and a device. The method may comprise the steps of: obtaining bio-signals of a prediction subject; using a pre-trained first ne...

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Bibliographische Detailangaben
1. Verfasser: KWON, Joonmyoung
Format: Patent
Sprache:eng ; fre ; kor
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Zusammenfassung:Disclosed, according to one embodiment of the present disclosure, are an artificial intelligence-based disease prediction method performed by a computing device, a program, and a device. The method may comprise the steps of: obtaining bio-signals of a prediction subject; using a pre-trained first neural network model to generate physiological information about the prediction subject on the basis of the obtained bio-signals; and using a pre-trained second neural network model to generate prediction information about the occurrence of a disease in the prediction subject on the basis of the obtained bio-signals and the generated physiological information. La présente divulgation concerne, selon un mode de réalisation, un procédé de prédiction de maladie basé sur l'intelligence artificielle exécuté par un dispositif informatique, un programme, et un dispositif. Le procédé peut comprendre les étapes consistant : à obtenir des bio-signaux d'un sujet de prédiction ; à utiliser un premier modèle de réseau neuronal pré-entraîné pour générer des informations physiologiques concernant le sujet de prédiction sur la base des bio-signaux obtenus ; et à utiliser un second modèle de réseau neuronal pré-entraîné pour générer des informations de prédiction concernant l'apparition d'une maladie chez le sujet de prédiction sur la base des bio-signaux obtenus et des informations physiologiques générées. 본 개시의 일 실시예에 따라 컴퓨팅 장치에 의해 수행되는, 인공지능 기반 질환 예측 방법, 프로그램 및 장치가 개시된다. 상기 방법은, 예측 대상자의 생체신호를 획득하는 단계; 사전 학습된 제 1 신경망 모델을 이용하여, 상기 획득된 생체신호를 기초로 상기 예측 대상자에 대한 생리학적 정보를 생성하는 단계; 및 사전 학습된 제 2 신경망 모델을 이용하여, 상기 획득된 생체신호 및 상기 생성된 생리학적 정보를 기초로 상기 예측 대상자의 질환 발생에 대한 예측 정보를 생성하는 단계를 포함할 수 있다.