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A total of 4 result was found. Results that relate to Electronic medical record

Research on real-world knowledge mining and knowledge graph completion (I): overview of re-al-world data and knowledge map

Published on New Medicine 2023,33(2):130-135.
16845 times 3732 times

Xu-Hui LI Si-Yu YAN Mu-Kun CHEN Hai-Feng ZHU Jie-Jun TAN Kuang GAO Yong-Bo WANG Qiao HUANG Xiang-Ying REN Ying-Hui JIN Xing-Huan WANG

Real-world data Knowledge map Electronic medical record
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Research on real-world knowledge mining and knowledge graph completion (II): Methods and pro-gress of information extraction from unstructured electronic medical records

Published on New Medicine 2023,33(5):358-365.
18199 times 4520 times

Si-Yu YAN Xu-Hui LI Mu-Kun CHEN Hai-Feng ZHU Jie-Jun TAN Kuang GAO Yong-Bo WANG Qiao HUANG Xiang-Ying REN Ying-Hui JIN Xing-Huan WANG

Unstructured data Electronic medical record Information extraction Text mining Natural language processing Ontology Real-world data
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Research on real-world knowledge mining and knowledge graph completion v(III):structured information extraction from real world data of bladder cancer based on regular expression

Published on New Medicine 2024,34(3):312-321.
10623 times 2914 times

MA Wenhao SHI Hanyu HUANG Qiao HUANG Xing WANG Yongbo WANG Shichun REN Xiangying SHI Yue JIN Yinghui YAN Siyu

Real-world data Information extraction Regular expression Natural language processing Electronic medical record data Bladder cancer
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Research on real-world knowledge mining and knowledge graph completion (IV): construction of a real-world data annotation platform and exploration of automatic extraction method based on pre-trained language models

Published on New Medicine 2024,34(11):1276-1283.
16889 times 2904 times

YAN Siyu TAN Jiejun ZHU Haifeng HUANG Qiao WANG Shichun MA Wenhao SHI Hanyu WANG Yongbo REN Xiangying HU Wenbin JIN Yinghui

Real-world data Electronic medical records Annotation platform Pre-trained language model Retrieval augmented generation Large language model Pathology records Bladder cancer
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