Intelligent classification of antepartum cardiotocography model based on deep forest

Author:

Chen Yandi,Guo Ao,Chen Qinqun,Quan Bin,Liu Guiqing,Li Li,Hong Jiaming,Wei Hang,Hao Zhifeng

Funder

National Natural Science Foundation of China

Guangdong Provincial Medical Research Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference38 articles.

1. Agreement and accuracy using the FIGO, ACOG and NICE cardiotocography interpretation guidelines;Santo;Acta Obstet. Gynecol. Scand.,2017

2. Computer‐based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK);Georgieva;Acta Obstet. Gynecol. Scand.,2019

3. The diagnostic value of serum estradiol and umbilical artery blood flow S/D ratio in fetal distress in pregnant women;Bei;. Thrombosis and hemostasis,2019

4. A scoring system for nonstressed antepartum fetal heart rate monitoring;Lyons;Am. J. Obstet. Gynecol.,1979

5. NST score and modified fischer scoring method to evaluate the correlation between fetal test results and newborn birth;Caixuan;CJ,2009

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