• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Neonatal assessment using the Apgar fuzzy expert system.

作者信息

Shimomura K, Shono H, Kohara M, Uchiyama A, Ito Y, Sugimori H

机构信息

Department of Obstetrics and Gynecology, Saga Medical School, Japan.

出版信息

Comput Biol Med. 1994 May;24(3):171-8. doi: 10.1016/0010-4825(94)90013-2.

DOI:10.1016/0010-4825(94)90013-2
PMID:7924262
Abstract

We applied fuzzy theory to the Apgar scoring system (APG) to devise an Apgar fuzzy expert system (AFES). Three AFESs were determined separately by each one of three doctor groups (four inexperienced obstetricians, four experienced obstetricians and four expert neonatologists) in order to demonstrate that the AFES reflected the examiner's expertise and situation. Two-hundred and sixty-seven neonates were assessed 1 min after birth by an experienced obstetrician using the APG and the three AFESs. Statistical analysis of the relationship between the APG and the three AFESs in the acidosis group showed that the AFES determined by four expert neonatologists had the highest sensitivity and were significantly different (p < 0.05) from the APG. The AFES determined by the four expert neonatologists was revealed to be a valuable tool.

摘要

相似文献

1
Neonatal assessment using the Apgar fuzzy expert system.
Comput Biol Med. 1994 May;24(3):171-8. doi: 10.1016/0010-4825(94)90013-2.
2
Application of fuzzy logic to the Apgar scoring system.模糊逻辑在阿氏评分系统中的应用。
Int J Biomed Comput. 1992 Mar;30(2):113-23. doi: 10.1016/0020-7101(92)90074-3.
3
Fuzzy expert system in the prediction of neonatal resuscitation.
Braz J Med Biol Res. 2004 May;37(5):755-64. doi: 10.1590/s0100-879x2004000500018. Epub 2004 Apr 22.
4
[Clinical study on improving the diagnostic criteria for neonatal asphyxia].[关于改进新生儿窒息诊断标准的临床研究]
Zhonghua Er Ke Za Zhi. 2006 Mar;44(3):167-72.
5
Application of fuzzy reasoning in an expert system for ultrasonography.模糊推理在超声检查专家系统中的应用。
Dentomaxillofac Radiol. 1997 Mar;26(2):125-31. doi: 10.1038/sj.dmfr.4600225.
6
[Deeper understanding of fetal acid-base equilibrium].对胎儿酸碱平衡的更深入理解
Z Geburtshilfe Perinatol. 1993 Mar-Apr;197(2):65-76.
7
The validity of the Apgar scores in the assessment of asphyxia at birth.阿氏评分在评估出生时窒息情况中的有效性。
Eur J Obstet Gynecol Reprod Biol. 1994 Apr;54(2):99-102. doi: 10.1016/0028-2243(94)90245-3.
8
[Lactic acidosis and asphyxia in the newborn].[新生儿乳酸酸中毒与窒息]
Helv Paediatr Acta. 1971;26:Suppl 26:1-39.
9
Effect of a statewide neonatal resuscitation training program on Apgar scores among high-risk neonates in Illinois.伊利诺伊州全州新生儿复苏培训项目对该州高危新生儿阿氏评分的影响。
Pediatrics. 2001 Apr;107(4):648-55. doi: 10.1542/peds.107.4.648.
10
Birth asphyxia: does the Apgar score have diagnostic value?出生窒息：阿氏评分有诊断价值吗？
Obstet Gynecol. 1988 Jul;72(1):120-3.

引用本文的文献

1
Developing a Fuzzy Expert System to Predict the Risk of Neonatal Death.开发一个模糊专家系统来预测新生儿死亡风险。
Acta Inform Med. 2016 Feb;24(1):34-7. doi: 10.5455/aim.2016.24.34-37. Epub 2016 Feb 2.
2
Clinical decision support systems for neonatal care.新生儿护理临床决策支持系统
Cochrane Database Syst Rev. 2005 Apr 18;2005(2):CD004211. doi: 10.1002/14651858.CD004211.pub2.