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Development of machine learning system for airway prediction from facial image with mobile device
Mendoza Garcés, F.; García, F.
; García, S.; García, B.; Vargas, J.; Lee, D.-J. (2022-06)
; García, S.; García, B.; Vargas, J.; Lee, D.-J. (2022-06)
Goals: A reliable prognostic tool for a difficult airway (DA) may enhance patients’ safety during orotracheal intubation by decreasing
unanticipated DAs. We aim to examine the applicability of an Artificial Intelligence-Deep ...
Desarrollo de sistema de Machine Learning para la prediccion de vía aérea a partir de imagen facial con dispositivo movil
Mendoza Garcés, F.; Irigoyen Miró, S.; García, F.; González, J.; García, S.; Telletxea, S. (2022-04)
; González, J.; García, S.; Telletxea, S. (2022-04)
El manejo de una vía aérea difícil (VAD) representa aún una causa importante de lesiones relacionadas con la anestesia, cuyas complicaciones son potencialmente mortales. El notable interés en la predicción de VAD ha provocado ...
Modeling latent spatio-temporal disease incidence using penalized composite link models
Lee, D.-J.; Durban, M.; Ayma, D.; Van de Kassteele, J. (2022-03-10)
; Durban, M.; Ayma, D.; Van de Kassteele, J. (2022-03-10)
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions to protect confidential information or to summarize it in a compact manner. However, the detailed patterns followed by the source data, ...
A two-stage approach for the spatio-temporal analysis of high-throughput phenotyping data
Pérez, D.M.; Rodríguez-Álvarez, M.X.; Boer, M.P; Kronenberg, L.; Hund, A.; Cabrera-Bosquet, L.; Millet, E.J.; van Eeuwijk, F.A. (2022-02-24)
; Rodríguez-Álvarez, M.X.; Boer, M.P; Kronenberg, L.; Hund, A.; Cabrera-Bosquet, L.; Millet, E.J.; van Eeuwijk, F.A. (2022-02-24)
High throughput phenotyping (HTP) platforms and devices are increasingly used for the characterization of growth and developmental processes for large sets of plant genotypes. Such HTP data require challenging statistical ...