Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Rodriguez Alvarez, Maria"'
Within Bayesian nonparametrics, dependent Dirichlet process mixture models provide a highly flexible approach for conducting inference about the conditional density function. However, several formulations of this class make either rather restrictive
Externí odkaz:
http://arxiv.org/abs/2401.03881
Autor:
Inouzhe, Hristo, Barrio, Irantzu, Gordaliza, Paula, Rodríguez-Álvarez, María Xosé, Bengoechea, Itxaso, Quintana, José María
We explore the effect of nursing home status on healthcare outcomes such as hospitalisation, mortality and in-hospital mortality during the COVID-19 pandemic. Some claim that in specific Autonomous Communities (geopolitical divisions) in Spain, elder
Externí odkaz:
http://arxiv.org/abs/2306.09711
A study of changes in the transmission of a disease, in particular, a new disease like COVID-19, requires very flexible models which can capture, among others, the effects of non-pharmacological and pharmacological measures, changes in population beh
Externí odkaz:
http://arxiv.org/abs/2301.06385
Autor:
Jiménez-Gaona, Yuliana, Carrión-Figueroa, Diana, Lakshminarayanan, Vasudevan, José Rodríguez-Álvarez, María
Publikováno v:
In Biomedical Signal Processing and Control August 2024 94
Autor:
Gaona, Yuliana Jiménez, Rodriguez-Alvarez, María José, Morató, Hector Espinó, Malla, Darwin Castillo, Lakshminarayanan, Vasudevan
Breast cancer is the most common invasive cancer in women, and the second main cause of death. Breast cancer screening is an efficient method to detect indeterminate breast lesions early. The common approaches of screening for women are tomosynthesis
Externí odkaz:
http://arxiv.org/abs/2101.09637
Medical brain image analysis is a necessary step in Computer Assisted /Aided Diagnosis (CAD) systems. Advancements in both hardware and software in the past few years have led to improved segmentation and classification of various diseases. In the pr
Externí odkaz:
http://arxiv.org/abs/2101.05091
Autor:
Rodríguez-Álvarez, María Xosé, Durbán, María, Eilers, Paul H. C., Lee, Dae-Jin, Gonzalez, Francisco
P-spline models have achieved great popularity both in statistical and in applied research. A possible drawback of P-spline is that they assume a smooth transition of the covariate effect across its whole domain. In some practical applications, howev
Externí odkaz:
http://arxiv.org/abs/2010.03828
This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent advances in computer-aided diagnosis (CAD) systems, which make use of n
Externí odkaz:
http://arxiv.org/abs/2010.00961
In this review, we present an overview of the main aspects related to the statistical evaluation of medical tests for diagnosis and prognosis. Measures of diagnostic performance for binary tests, such as sensitivity, specificity, and predictive value
Externí odkaz:
http://arxiv.org/abs/2007.07687
The receiver operating characteristic (ROC) curve is the most popular tool used to evaluate the discriminatory capability of diagnostic tests/biomarkers measured on a continuous scale when distinguishing between two alternative disease states (e.g, d
Externí odkaz:
http://arxiv.org/abs/2003.13111