dc.contributor.author | Marmolejo-Saucedo, José-Antonio | |
dc.contributor.other | Campus Ciudad de México | es |
dc.creator | JOSE ANTONIO MARMOLEJO SAUCEDO;174160 | |
dc.date.accessioned | 2020-07-29T22:14:24Z | |
dc.date.available | 2020-07-29T22:14:24Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Marmolejo Saucedo, J. A. y Litvinchev, I. (2021). Foreword. En: Kose, U. , Deperlioglu, O., Alzubi, J. y Patrut, B. (editores), Deep learning for medical decision support systems, (Studies in Computational Intelligence, vol. 909) (pp. vii-viii). Singapore : Springer. DOI: 10.1007/978-981-15-6325-6 | en |
dc.identifier.isbn | 9789811563256 | |
dc.identifier.isbn | 9789811563249 | |
dc.identifier.isbn | 9811563241 | |
dc.identifier.issn | 1860-949X | |
dc.identifier.issn | 1860-9503 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12552/5247 | |
dc.identifier.uri | https://doi.org/10.1007/978-981-15-6325-6 | |
dc.identifier.uri | https://link.springer.com/content/pdf/bfm%3A978-981-15-6325-6%2F1.pdf | |
dc.description.abstract | In this book, different medical data handling techniques are used to develop medical decision support systems in the context of diagnosis perspective. The objective is to use all available information in the decision-making to improve the quality of medical care and to help less experienced doctors in diagnostics. ©2020, ©2021 Springer | en |
dc.language.iso | eng | |
dc.publisher | Springer | en |
dc.relation.ispartof | REPOSITORIO SCRIPTA | es |
dc.relation.ispartof | OPENAIRE | es |
dc.relation.ispartofseries | 909 | |
dc.relation.ispartofseries | Studies in Computational Intelligence | en |
dc.rights | Acceso Embargado | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0 | * |
dc.rights.uri | https://v2.sherpa.ac.uk/id/publication/32441 | |
dc.source | Deep learning for medical decision support systems | en |
dc.subject | Artificial intelligence | en |
dc.subject | Machine learning | en |
dc.subject | Medical education | en |
dc.subject | Medical image analysis | en |
dc.subject | Hybrid deep learning systems | en |
dc.subject | Early diagnosis support | en |
dc.subject | Automated healthcare | en |
dc.subject | Belief networks | en |
dc.subject | Deep medicine | en |
dc.subject.classification | INGENIERÍA Y TECNOLOGÍA | es |
dc.subject.classification | MEDICINA Y CIENCIAS DE LA SALUD | es |
dc.subject.classification | Ingeniería | es |
dc.subject.classification | Ciencias de la Salud | es |
dc.subject.lcsh | Artificial intelligence - Medical applications | en |
dc.subject.lcsh | Decision support systems | en |
dc.title | Foreword : Deep learning for medical decision support systems | en |
dc.title.alternative | Foreword by Dr. Jose Antonio Marmolejo-Saucedo and Dr. Igor Litvinchev | en |
dc.title.alternative | Deep learning for medical decision support systems : foreword by Dr. Jose Antonio Marmolejo-Saucedo and Dr. Igor Litvinchev | en |
dc.type | Prefacio | es |
dcterms.audience | Investigadores | es |
dcterms.audience | Estudiantes | es |
dcterms.audience | Maestros | es |
dc.description.version | Versión aceptada | es |
dc.identifier.doi | https://doi.org/10.1007/978-981-15-6325-6 | |
dc.identifier.pagenumber | vii-viii | |