Machine learning as a tool to study the influence of chronodisruption in preterm births
Fecha de publicación:
2021
Versión del editor:
Citación:
Journal of Ambient Intelligence and Humanized Computing (2021); doi: 10.1007/s12652-021-02906-6
ISSN:
Patrocinado por:
Díaz would like to thank for the support of Spanish Ministry of Science and Technologyproject TIN-2017-87600-P and FICYT Project IDI/2018/000176. A. Alonso, E. Díaz and C. Fernández-Plaza would like to thank for the support of University of Oviedo project PAPI-17-PUENT-06.
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