Literature DB >> 7924262

Neonatal assessment using the Apgar fuzzy expert system.

K Shimomura1, H Shono, M Kohara, A Uchiyama, Y Ito, H Sugimori.   

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.

Entities:  

Mesh:

Year:  1994        PMID: 7924262     DOI: 10.1016/0010-4825(94)90013-2

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

Review 1.  Clinical decision support systems for neonatal care.

Authors:  K Tan; P R F Dear; S J Newell
Journal:  Cochrane Database Syst Rev       Date:  2005-04-18

2.  Developing a Fuzzy Expert System to Predict the Risk of Neonatal Death.

Authors:  Reza Safdari; Maliheh Kadivar; Mostafa Langarizadeh; Ahmadreaza Farzaneh Nejad; Farzaneh Kermani
Journal:  Acta Inform Med       Date:  2016-02-02
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.