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- research-articleDecember 2021
A Hypergraph-based Method for Pharmaceutical Data Similarity Retrieval
ICBDT '21: Proceedings of the 4th International Conference on Big Data TechnologiesSeptember 2021, Pages 134–140https://doi.org/10.1145/3490322.3490344Drug and compound similarity retrieval is very important for new drug research and development. Most pharmaceutical database provide keyword searching service. Because keyword search method cannot identify entity semantic similarity information, so the ...
- research-articleDecember 2021
Towards medical assistant diagnosis using deep learning approach
ICBDT '21: Proceedings of the 4th International Conference on Big Data TechnologiesSeptember 2021, Pages 92–96https://doi.org/10.1145/3490322.3490337In the face of massive electronic medical record data, discovering the relationship between symptoms and diagnosis can help doctors improve the efficiency of clinical diagnosis and treatment. An end-to-end method based on deep learning for disease ...
- research-articleDecember 2021
Medical Named Entity Recognition Based on Multi Feature Fusion of BERT
ICBDT '21: Proceedings of the 4th International Conference on Big Data TechnologiesSeptember 2021, Pages 86–91https://doi.org/10.1145/3490322.3490336In order to solve the problem that traditional word vectors are difficult to express the context semantics and the feature extraction of traditional model is single, a multi-feature fusion model named BERT-BiLSTM-IDCNN-Attention-CRF for Named Entity ...
- research-articleDecember 2021
Fast Mixing of Hard Negative Samples for Contrastive Learning and Use for COVID-19
ICBDT '21: Proceedings of the 4th International Conference on Big Data TechnologiesSeptember 2021, Pages 6–12https://doi.org/10.1145/3490322.3490324The new type of coronavirus pneumonia (COVID-19) is spreading around the world, and one of the main reasons is the low detection efficiency and lack of detection materials. Image recognition algorithms based on deep learning are an effective method to ...