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Machine Learning-Based Diagnosis Method Of Schizophrenia And System there-of

机译:基于机器学习的精神分裂症和系统的诊断方法

摘要

A method and system for diagnosing schizophrenia based on machine learning are provided. The method for diagnosing schizophrenia of the present invention includes preprocessing EEG data and MRI data measured from a patient, storing the preprocessed EEG data and MRI data of the patient in the hospital database, and inputting the patient's MRI data into a machine learning algorithm Thus, calculating schizophrenia probability information according to the patient's MRI data, calculating a difference between the patient's EEG data and the control group's EEG data to provide visual data, the schizophrenia probability information and the visual data Diagnosing the presence of schizophrenia based on the diagnosis of schizophrenia, classifying the patient into a control group or a patient group according to the diagnosis result of the step of diagnosing whether the patient has schizophrenia, and storing the MRI data of the patient together with the classification result in the machine learning database including the steps of
机译:提供了一种基于机器学习诊断精神分裂症的方法和系统。诊断本发明的精神分裂症的方法包括预处理的EEG数据和从患者测量的MRI数据,存储在医院数据库中的患者的预处理EEG数据和MRI数据,并将患者的MRI数据输入机器学习算法,根据患者的MRI数据计算精神分裂症概率信息,计算患者EEG数据和对照组的EEG数据之间的差异,以提供视觉数据,精神分裂症概率信息和基于精神分裂症的诊断,诊断精神分裂症存在的视觉数据,根据诊断患者是否具有精神分裂症的步骤的诊断结果将患者分为对照组或患者组,并将患者的MRI数据与分类结果一起存储在内的机器学习数据库,包括步骤

著录项

  • 公开/公告号KR20210157444A

    专利类型

  • 公开/公告日2021-12-28

    原文格式PDF

  • 申请/专利权人 김도연;성지현;김지은;

    申请/专利号KR1020200075363

  • 发明设计人 김도연;성지현;김지은;

    申请日2020-06-20

  • 分类号A61B5/16;A61B5;A61B5/055;A61B5/369;G06N20;G16H50/20;

  • 国家 KR

  • 入库时间 2022-08-24 23:05:06

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