The Use of Fuzzy BackPropagation Neural Networks for the Early Diagnosis of Hypoxic Ischemic Encephalopathy in Newborns
Objective. To establish an early diagnostic system for hypoxic ischemic encephalopathy (HIE) in newborns based on artificial neural networks and to determine its feasibility. Methods. Based on published research as well as preliminary studies in our laboratory, multiple noninvasive indicators with h...
Main Authors: | Liu Li, Huo Liqing, Lu Hongru, Zhang Feng, Zheng Chongxun, Shami Pokhrel, Zhang Jie |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2011-01-01
|
Series: | Journal of Biomedicine and Biotechnology |
Online Access: | http://dx.doi.org/10.1155/2011/349490 |
Similar Items
-
PREDICTORS OF HYPOXIC ISCHEMIC ENCEPHALOPATHY IN NEWBORNS
by: V. A. Sergeeva, et al.
Published: (2018-01-01) -
Biomarkers of Hypoxic Ischemic Encephalopathy in Newborns
by: Martha V. Douglas-Escobar, et al.
Published: (2012-11-01) -
Neurochemical disorders at the hypoxic-ischemic encephalopathy in newborns
by: Tamara Chuvakova, et al.
Published: (2017-09-01) -
Hypothermia therapy for newborns with hypoxic ischemic encephalopathy
by: Rita C. Silveira, et al.
Published: (2015-11-01) -
OUTCOME OF TERM NEWBORNS WITH HYPOXIC ISCHEMIC ENCEPHALOPATHY
by: Shazia Mahar, et al.
Published: (2017-08-01)