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Patent Searching and Data


Title:
DEEP LEARNING-BASED METHOD AND DEVICE FOR SCREENING FOR KEYWORDS IN MEDICAL DOCUMENT
Document Type and Number:
WIPO Patent Application WO/2020/074017
Kind Code:
A1
Abstract:
Embodiments of the present application discloses a deep learning-based method and device for screening for keywords in a medical document, capable of enhancing the accuracy of keyword screening in medical documents. The method comprises: performing sentence segmentation on a medical document to be processed, performing word segmentation on the component sentences, labeling and encoding the component words according to the order of appearance of the component words in the medical document to be processed, and generating a word vector matrix for the component sentences (S1);inputting the word vector matrix of the component sentences into a pre-trained deep learning-based Bilstm-CRF model, and obtaining the keywords in the medical document to be processed (S2).

Inventors:
ZHAO RONGSHENG (CN)
SONG ZAIWEI (CN)
LIU SHUANG (CN)
ZHOU MIN (CN)
Application Number:
PCT/CN2019/118858
Publication Date:
April 16, 2020
Filing Date:
November 15, 2019
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Assignee:
UNIV PEKING THIRD HOSPITAL (CN)
BEIJING MEDICINOVO TECH COMPANY LIMITED (CN)
International Classes:
G06F17/00
Foreign References:
CN109359300A2019-02-19
CN108121700A2018-06-05
CN104268200A2015-01-07
US9754584B22017-09-05
Other References:
CHEN, WEI ET AL.: "Automatic Keyword Extraction Based on BiLSTM-CRF", COMPUTER SCIENCE, vol. 45, no. 6A, 15 June 2018 (2018-06-15), pages 93 - 96
Attorney, Agent or Firm:
CN-KNOWHOW INTELLECTUAL PROPERTY AGENT LIMITED (CN)
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