[Anaerobic bacteremias in an adult University Hospital in Córdoba, Argentina: a 26-year análisis] [PDF]
Gasparotto AM +5 more
europepmc +1 more source
[Risk factors associated with inadequacy of empirical treatment in patients with sepsis and bacteremia attended in an emergency department]. [PDF]
Motos-Bescós M +6 more
europepmc +1 more source
Use of artificial intelligence in the diagnosis of alterations in cervical cytology: A university population-based observational study [PDF]
Manzano-Chaya JS +2 more
europepmc +1 more source
Predicción de series de tiempo aplicando redes neuronales artificales
In this work artificial neural network (ANN) algorithms are used to predict time series of the oceanographic variables significant wave height (Hs), southern oscillation index (SOI) and sea surface temperature anomaly (SSTA). Three types of neural networks were applied, namely TDNN, RNN and FIRNN; it was found the latter produced the best results.
openaire +1 more source
Disparities in time-to-treatment initiation and therapeutic modalities for malignant melanoma of the skin: a cross-sectional study, Brazil, 2013-2023. [PDF]
Nogueira HR +5 more
europepmc +1 more source
[Analysis of Respiratory Variables During Sleep in a Sample of Women in Perimenopause: a retrospective cross-sectional study] [PDF]
Caporale S +5 more
europepmc +1 more source
Mortality and associated factors in post-stem cell transplant patients: a two-year cohort in a public hospital in Peru. [PDF]
Agramonte-Vilca M +5 more
europepmc +1 more source
Reglas de asociación y predicción utilizando series de tiempo.
El desarrollo de este trabajo de titulación tiene como objetivo general, apoyar las actividades productivas de los pequeños productores agrícolas registrados en el actual sistema del Ministerio de Agricultura, mediante el desarrollo de una aplicación basada en las reglas de asociación y predicción utilizando series de tiempo, la cual, permite ...
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[Experience with medical treatment using sirolimus for cardiac rhabdomyomas in children. A case series]. [PDF]
Stelmaszewski EV +3 more
europepmc +1 more source
Predicción de series de tiempo con redes neuronales
El objetivo de este trabajo es la investigación sobre la competencia del Deep Learning para la predicción de series de tiempo. En este proyecto se profundiza en el uso de Redes Neuronales Recurrentes para predecir índices bursátiles. Se han implementado tres tipos distintos de redes neuronales con la capacidad de memoria a largo plazo: SimpleRNN, LSTM ...
openaire +1 more source

