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Assessment of the Influence of Features on a Classification Problem: An Application to COVID-19 Patients
(Elsevier, 2022)
[Abstract] This paper deals with an important subject in classification problems addressed by machine learning techniques: the evaluation of the influence of each of the features on the classification of individuals. ...
Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain
(Springer, 2023-07)
[Abstract]: Wastewater-based epidemiology has been widely used as a cost-effective method for tracking the COVID-19 pandemic at the community level. Here we describe COVIDBENS, a wastewater surveillance program running ...
Cure models to estimate time until hospitalization due to COVID-19
(Springer Nature, 2022-01)
[Abstract]: A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent ...
Effectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020–May 2021)
(Frontiers Media S.A., 2023)
[Abstract]: Background: We estimated the association between the level of restriction in nine different fields of activity and SARS-CoV-2 transmissibility in Spain, from 15 September 2020 to 9 May 2021. Methods: A stringency ...
Building-Scale Wastewater-Based Epidemiology for SARS-CoV-2 Surveillance at Nursing Homes in A Coruña, Spain
(MDPI, 2023-11)
[Abstract] Wastewater-based epidemiology (WBE) has become an effective tool in the surveillance of
infectious diseases such as COVID-19. In this work, we performed a brief study of monitoring the
SARS-CoV-2 viral load ...
Latency function estimation under the mixture cure model when the cure status is available
(Springer, 2023-03)
[Abstract]: This paper addresses the problem of estimating the conditional survival function of the lifetime of the subjects experiencing the event (latency) in themixture curemodel when
the cure status information is ...
Estimating Lengths-Of-Stay of Hospitalized COVID-19 Patients Using a Non-parametric Model: A Case Study in Galicia (Spain)
(Cambridge University Press, 2021)
[Abstract] Estimating the lengths-of-stay (LoS) of hospitalised COVID-19 patients is key for predicting the hospital beds’ demand and planning mitigation strategies, as overwhelming the healthcare systems has critical ...