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A Comparison of Forecasting Mortality Models Using Resampling Methods

Atance, David; Debón Aucejo, Ana María; Navarro, Eliseo (MDPI AG, 2020-09)

[EN] The accuracy of the predictions of age-specific probabilities of death is an essential objective for the insurance industry since it dramatically affects the proper valuation of their products. Currently, it is crucial ...
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 ...

Mostrando ítems 1-3 de 3