python爬取电子病历_Med7：临床电子病历可迁移自然语言处理模型

作者：人工智能uu | 2024-06-23 07:30:27

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med7知识抽取

Med7

This repository dedicated to the first release of Med7: a transferable clinical natural language processing model for electronic health records, compatible with spaCy, for clinical named-entity recognition (NER) tasks. The en_core_med7_lg model is trained on MIMIC-III free-text electronic health records and is able to recognise 7 categories:

Screenshot%202020-02-26%20at%2018.18.54.png

The trained model comprises three components in its pipeline:

tagger

parser

clinical NER with seven categories.

Self-supervised pre-training has shown its efficiency in achieving good results even with a small number of gold-annotated training data. We have experimented with the spacy pretrain approach and trained a number of weights for model initialisation for various par

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