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Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines

George K. Georgoulas, Chrysostomos D. Stylios, Petros P. Groumpos. Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines. IEEE Trans. Biomed. Engineering, 53(5):875-884, 2006. [doi]

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