2022
DOI: 10.1155/2022/8081673
|View full text |Cite
|
Sign up to set email alerts
|

Deep Learning Algorithm-Based Magnetic Resonance Imaging Feature-Guided Serum Bile Acid Profile and Perinatal Outcomes in Intrahepatic Cholestasis of Pregnancy

Abstract: This study was aimed to explore magnetic resonance imaging (MRI) based on deep learning belief network model in evaluating serum bile acid profile and adverse perinatal outcomes of intrahepatic cholestasis of pregnancy (ICP) patients. Fifty ICP pregnant women diagnosed in hospital were selected as the experimental group, 50 healthy pregnant women as the blank group, and 50 patients with cholelithiasis as the gallstone group. Deep learning belief network (DLBN) was built by stacking multiple restricted Boltzman… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 20 publications
(17 reference statements)
0
1
0
Order By: Relevance
“…Estimates of ICP prevalence range from 0.2% to 2%, however, this range is very variable across different populations (Liu et al, 2022). The northern hemisphere and South America are the primary regions of occurrence.…”
Section: Introductionmentioning
confidence: 99%
“…Estimates of ICP prevalence range from 0.2% to 2%, however, this range is very variable across different populations (Liu et al, 2022). The northern hemisphere and South America are the primary regions of occurrence.…”
Section: Introductionmentioning
confidence: 99%