dc.contributor.author | Díaz Rodríguez, Elena | |
dc.contributor.author | Fernández-Plaza Menéndez, Catalina | |
dc.contributor.author | Abad, Inés | |
dc.contributor.author | Alonso García, Ana | |
dc.contributor.author | González González, Celestino | |
dc.contributor.author | Díaz Rodríguez, Susana Irene | |
dc.date.accessioned | 2021-02-16T11:47:45Z | |
dc.date.available | 2021-02-16T11:47:45Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Journal of Ambient Intelligence and Humanized Computing (2021); doi: 10.1007/s12652-021-02906-6 | |
dc.identifier.issn | 1868-5137 | |
dc.identifier.uri | http://hdl.handle.net/10651/57900 | |
dc.description.sponsorship | 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. | spa |
dc.language.iso | eng | spa |
dc.relation.ispartof | Journal of Ambient Intelligence and Humanized Computing | spa |
dc.rights | © The authors under exclusive licence to Springer Verlag Gmbh, De part of Springer Nature 2021 | |
dc.rights | CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.title | Machine learning as a tool to study the influence of chronodisruption in preterm births | spa |
dc.type | journal article | spa |
dc.identifier.doi | 10.1007/s12652-021-02906-6 | |
dc.relation.projectID | TIN-2017-87600-P | spa |
dc.relation.projectID | FICYT/IDI/2018/000176 | spa |
dc.relation.projectID | Universidad de Oviedo/PAPI-17-PUENT-06 | spa |
dc.relation.publisherversion | http://dx.doi.org/10.1007/s12652-021-02906-6 | spa |
dc.rights.accessRights | open access | spa |
dc.type.hasVersion | AM | |