Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s13755-019-0079-z.pdf
Reference45 articles.
1. Grivell RM, Alfirevic Z, Gyte GM, Devane D. Antenatal cardiotocography for fetal assessment. Cochrane Database Syst Rev. 2010;9:1–48. https://doi.org/10.1002/14651858.CD007863.pub2 .
2. Strachan BK, Sahota DS, Van Wijngaarden WJ, James DK, Chang AMZ. Computerised analysis of the fetal heart rate and relation to acidaemia at delivery. Br J Obstet Gynaecol. 2001;108:848–52. https://doi.org/10.1016/S0306-5456(00)00195-9 .
3. Pinas A, Chandraharan E. Continuous cardiotocography during labour: analysis, classification and management. Best Pract. Res. Clin. Obstet. Gynaecol. 2016;30:33–47. https://doi.org/10.1016/j.bpobgyn.2015.03.022 .
4. Norén H, Amer-Wåhlin I, Hagberg H, Herbst A, Kjellmer I, Marşál K, Olofsson P, Rosén KG. Fetal electrocardiography in labor and neonatal outcome: data from the Swedish randomized controlled trial on intrapartum fetal monitoring. Am J Obstet Gynecol. 2017;188:183–92. https://doi.org/10.1067/mob.2003.109 .
5. Georgoulas G, Karvelis P, Spilka J, Chudáček V, Stylios CD, Lhotská L. Investigating pH based evaluation of fetal heart rate (FHR) recordings. Health Technol. (Berl). 2017;7:241–54. https://doi.org/10.1007/s12553-017-0201-7 .
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