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Prats-Boluda, G.
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Prats-Boluda, G.
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Combination of Feature Selection and Resampling Methods to Predict Preterm Birth Based on Electrohysterographic Signals from Imbalance Data
by
Diago-Almela, V.J
,
Diaz-Martinez, A.
,
Garcia-Casado, J.
,
Hao, D.
,
Monfort-Ortiz, R.
,
Nieto-Del-amor, F.
,
Prats
-
Boluda
,
G
.
,
Ye-Lin, Y.
Published 2022
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Related Subjects
Classification (of information)
Electrohysterography
Electrophysiology
Feature Selection
Feature selection methods
Forecasting
Genetic algorithms
Imbalance data learning
Imbalance datum
Machine-learning
Preterm labor
Preterm labor prediction
Resampling method
Statistical tests
Under-sampling
Uterine electromyography
electrohysterography
genetic algorithm
imbalance data learning
machine learning
preterm labor prediction
resampling methods
uterine electromyography
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