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Combination of Feature Selection and Resampling Methods to Predict Preterm Birth Based on Electrohysterographic Signals from Imbalance Data

Nieto del-Amor, Félix; Prats-Boluda, Gema; Garcia-Casado, Javier; Diaz-Martinez, Alba; Diago-Almela, Vicente Jose; Monfort-Ortiz, Rogelio; Hao, Dongmei; Ye Lin, Yiyao (MDPI AG, 2022-07-07)

[EN] Due to its high sensitivity, electrohysterography (EHG) has emerged as an alternative technique for predicting preterm labor. The main obstacle in designing preterm labor prediction models is the inherent preterm/term ...
Design and assessment of a computer-assisted artificial intelligence system for predicting preterm labor in women attending regular check-ups. Emphasis in imbalance data learning technique

Nieto del Amor, Félix (Universitat Politècnica de València, 2023-12-18)

[ES] El parto prematuro, definido como el nacimiento antes de las 37 semanas de gestación, es una importante preocupación mundial con implicaciones para la salud de los recién nacidos y los costes económicos. Afecta ...

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