A study on Diseases Classification and Modelof the SNOMED CT

Corresponding author: Dongyun Shi, 18612068862@163.com

DOI: 10.12201/bmr.202110.00005

•  

  Abstract: This study introduces the concept and application of Systematic Nomenclature of Medicine Clinical Terms (SNOMED CT, hereinafter referred to as SCT), systematically summarizes the disease classification of SCT and the characteristic elements of disease conceptual model, namely location of onset, cause of onset, correlation between disease diagnosis and judgment, clinical process of onset, time of onset and combination six types of Diseases Definition Patterns, draw the enlightenment to the development of TCM disease conceptual model in China, in order to provide reference for the construction of TCM disease glossary in China, and supply better effect to the supporting role of terminology standards in TCM information clinical scientific research.

  Key words: Ontology；Disease Ontology；Disease classification；SNOMED CT；TCM diseases

  Submit time: 22 October 2021

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• wang qiqi, pei lianxue, li junqi, li yukun, long xiaojuan, xiang xianglong, zhou maigeng, yu shicheng. Construction and Application of Integrated Platform for Burden of Chronic Disease Study and Decision-Making Support. 2021. doi: 10.12201/bmr.202106.00013

  ZHU yan, ZHENG Jie, Li Xiaoying, Yang Xiaolin, HE Yongqun. Introduction to Basic Formal Ontology and its Chinese Translation. 2020. doi: 10.12201/bmr.202007.00009

  Guo Mengying, Zhou Yi, He Jingshu, Pan Jiaxin, Sun JingKai, Huang Wei. Research on Function Classification of WeChat Official Account Service Platform of Traditional Chinese Medicine Hospital Based on Card Classification. 2020. doi: 10.12201/bmr.202010.00833

  xie jia qi. Leveraging Pre-trained Language Model for Consumer Health Question Classification. 2021. doi: 10.12201/bmr.202101.00017

  Xu Xiaowei, Guo Haihong, Li Jiao. Evaluating Data Mining Algorithms for Consumer Health-Related Question Classification. 2021. doi: 10.12201/bmr.202101.00018

  zhangchu, wangyihuan. Study on chronic diseases and catastrophic health expenditure risk： based on 2018 CHARLS data. 2021. doi: 10.12201/bmr.202102.00009

  YANG Ziliang, ZHAO Zixiong, ZHANG Yewu, MA Jiaqi. A Research on the Construction of a Case Epidemiological Portrait Labeling System for Respiratory Infectious Diseases. 2022. doi: 10.12201/bmr.202112.00010

  LIU Mi-mi, DU Guo-xia, ZHOU Yi, WU Bin, WU Xiao-ying. Construction and preliminary application of liver cirrhosis special disease database. 2021. doi: 10.12201/bmr.202104.00014

  ZHANG Yi-ying, DU Yu, LI Meng, LI Yuan-bai, YANG Shuo, Liu Fang-zhou, WANG Jing, LI Yi-hao, YANG Yang. Analysis of the characteristics of ancient prescriptions for coronary heart disease based on association rules. 2021. doi: 10.12201/bmr.202110.00027

  Dong Chengcheng, XIONG Juyang. Influencing factors of behavior intention of chronic disease management information system. 2020. doi: 10.12201/bmr.202006.00002

• ID	Submit time	Number	Download
  1	2021-10-12	bmr.202110.00005V1	Download

• Public  Anonymous  To author only Submit Comments