EPICURE Ensemble Pretrained Models for Extracting Cancer Mutations from Literature

2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)(2021)

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摘要
To interpret the genetic profile present in a patient sample, it is necessary to know which mutations have important roles in the development of the corresponding cancer type. Named entity recognition (NER) is a core step in the text mining pipeline which facilitates mining valuable cancer information from the scientific literature. However, due to the scarcity of related datasets, previous NER at...
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关键词
Training,Text mining,Deep learning,Text recognition,Computational modeling,Biological system modeling,Pipelines
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