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

Journal: Studies in health technology and informatics
Published Date:

Abstract

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 classify 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.

Authors

  • Guanxu Su
    Ping An Health Technology, Beijing, China.
  • Jianghui Wen
    Ping An Health Technology, Beijing, China.
  • Zhaowei Zhu
    Department of Urology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P. R. China.
  • Zhuo Liu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Wei Zhao
    Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, Jiangnan University, Wuxi 214122, Jiangsu Province, P. R. China. lxy@jiangnan.edu.cn zhuye@jiangnan.edu.cn.
  • Xingzhi Sun
    Ping An Health Technology, Beijing, China.
  • Gang Hu
    Ping An Health Technology, Beijing, China.
  • Guotong Xie
    Ping An Health Technology, Beijing, China.