An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model

被引：0

作者：

Su, Guanxu ^{[1
]}

Wen, Jianghui ^{[1
]}

Zhu, Zhaowei ^{[1
]}

Liu, Zhuo ^{[1
]}

Zhao, Wei ^{[1
]}

Sun, Xingzhi ^{[1
]}

Hu, Gang ^{[1
]}

Xie, Guotong ^{[1
]}

机构：

[1] Ping An Hlth Technol, Beijing, Peoples R China

来源：

MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL | 2019年 / 264卷

关键词：

Neural networks (computer); diagnosis;

D O I：

10.3233/SHTI190551

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A diagnostic model of general diseases could help general practitioners to decrease misdiagnoses and reduce workload. In this paper, we developed a neural network model that can classes potential diagnoses among 100 selected common diseases based on ambulatory health care data. We propose a novel approach to integrate domain knowledge into neural network training. The evaluation results show our model outperforming the baseline model in terms of knowledge consistency and model generalization.

引用

页码：1594 / 1595

页数：2

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