Research on Medical Text Classification Based on Improved Capsule Network

نویسندگان

چکیده

In the medical field, text classification based on natural language process (NLP) has shown good results and great practical application prospects such as clinical value, but most existing research focuses English electronic record data, there is less processing task for Chinese records. Most of current records are non-institutionalized texts, which generally have low utilization rates inconsistent terminology, often mingling patients’ symptoms, medications, diagnoses, other essential information. this paper, we propose a Capsule network model classification, combines LSTM GRU models relies unique routing structure to extract complex features. The experimental show that outperforms several baseline achieves excellent with an F1 value 73.51% dataset, at least 4.1% better than models.

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ژورنال

عنوان ژورنال: Electronics

سال: 2022

ISSN: ['2079-9292']

DOI: https://doi.org/10.3390/electronics11142229