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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… Click to show full 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.
Keywords:
diagnostic model;
model;
domain knowledge;
approach integrating
Journal Title: Studies in health technology and informatics
Year Published: 2019
Link to full text (if available)
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Journal Title: Studies in health technology and informatics
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!