首页> 外国专利> METHOD FOR VISUALIZING CLASSIFICATION RESULT OF DEEP NEURAL NETWORK FOR PREDICTION OF DISEASE PROGNOSIS THROUGH TIME SERIES MEDICAL DATA AND SYSTEM THEREOF

METHOD FOR VISUALIZING CLASSIFICATION RESULT OF DEEP NEURAL NETWORK FOR PREDICTION OF DISEASE PROGNOSIS THROUGH TIME SERIES MEDICAL DATA AND SYSTEM THEREOF

机译:基于时间序列医学数据的深层神经网络预测结果的可视化预测方法及系统

摘要

Disclosed are a method for visualizing a classification result of a deep neural network for prediction of disease prognosis through time series medical data and a system thereof. The method which is implemented with a computer includes the steps of: generating sequence data by expressing medical data of a patient in a sequence form that is time series data in chronological order; predicting the patients disease from the sequence data through a disease prediction model by using a recurrent neural network (RNN) and an attention network; and visualizing an attention weight of the sequence data for the patients disease prediction by using a gradient-weighted class activation map (Grad-CAM).;COPYRIGHT KIPO 2020
机译:公开了一种用于可视化深度神经网络的分类结果的方法,该方法通过时间序列医学数据来预测疾病的预后。用计算机实现的方法包括以下步骤:通过以序列形式表示患者的医学数据来生成序列数据,所述序列形式是按时间顺序的时间序列数据;通过使用递归神经网络(RNN)和关注网络通过疾病预测模型从序列数据预测患者疾病; COPYRIGHT KIPO 2020,并使用梯度加权类别激活图(Grad-CAM)可视化序列数据对患者疾病预测的关注权重。

著录项

  • 公开/公告号KR20200063364A

    专利类型

  • 公开/公告日2020-06-05

    原文格式PDF

  • 申请/专利权人 NAVER CORPORATION;

    申请/专利号KR20180146628

  • 申请日2018-11-23

  • 分类号G16H50/20;G06N3/04;G16H50/70;

  • 国家 KR

  • 入库时间 2022-08-21 11:06:52

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