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Listar por autor "González Cebrián, Alba"

Mostrando ítems 1-8 de 8

Diagnosis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome With Partial Least Squares Discriminant Analysis: Relevance of Blood Extracellular Vesicles

González-Cebrián, Alba; Almenar-Pérez, Eloy; Xu, Jiabao; Yu, Tong; Huang, Wei E.; Giménez-Orenga, Karen; Hutchinson, Sarah; Lodge, Tiffany; Nathanson, Lubov; Morten, Karl J.; Ferrer, Alberto; Oltra, Elisa (Frontiers Media, 2022-04-01)

[EN] Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), a chronic disease characterized by long-lasting persistent debilitating widespread fatigue and post-exertional malaise, remains diagnosed by clinical criteria. ...
How to Simulate Outliers with the Desired Properties

González-Cebrián, A.; Arteaga, Francisco; Folch-Fortuny, Abel; Ferrer, Alberto (Elsevier, 2021-05-15)

[EN] Deviating multivariate observations are used typically to test the performance of outlier detection methods. Yet, the generation of outlying cases itself usually appears as a secondary methodological step in methods ...
Machine-learning-derived predictive score for early estimation of COVID-19 mortality risk in hospitalized patients

González-Cebrián, Alba; Borràs-Ferrís, Joan; Ordovás-Baines, Juan Pablo; Hermenegildo-Caudevilla, Marta; Climente-Martí, Mónica; Tarazona, Sonia; Vitale, Raffaele; Palací-López, Daniel; Sierra-Sánchez, Jesús Francisco; Saez de la Fuente, Javier; Ferrer, Alberto (Public Library of Science, 2022-09-22)

[EN] The clinical course of COVID-19 is highly variable. It is therefore essential to predict as early and accurately as possible the severity level of the disease in a COVID-19 patient who is admitted to the hospital. ...
Modelado y caracterización de señales cerebrales mediante wavelets y proyección sobre variables latentes

González Cebrián, Alba (Universitat Politècnica de València, 2016-07-12)

[ES] En el presente trabajo se ha realizado la caracterización y clasificación de trastornos del sueño a partir de los EEGs registrados en Polisomnografías. Mediante la Transformada Wavelet Discreta, se han obtenido ...
Multivariate Six Sigma: A case study in an outpatient pharmaceutical care unit

González-Cebrián, Alba; Hermenegildo, Marta; Climente, Mónica; Ferrer, Alberto (Taylor & Francis, 2022-04-03)

[EN] Six Sigma strategies for process improvement are widely used in industry and manufactur-ing. The spreading tendency to gather process data about hospital activity is leading to anincrease of process improvement projects ...
PLATERO: A Calibration Protocol for Plate Reader Green Fluorescence Measurements

González-Cebrián, Alba; Borràs-Ferrís, Joan; Boada-Acosta, Yadira Fernanda; Vignoni, Alejandro; Ferrer, Alberto; Picó, Jesús (Frontiers Media S.A., 2023-01-20)

[EN] One of the most common sources of information in Synthetic Biology is the data coming from plate reader fluorescence measurements. These experiments provide a measure of the light emitted by a certain fluorescent ...
Scoring y análisis del sueño con técnicas de clasificación basadas en proyección sobre estructuras latentes y aprendizaje automático

González Cebrián, Alba (Universitat Politècnica de València, 2017-10-20)

The goal of this project is the use of classifiers based on projection to latent structures and machine learning techniques in order to perform automatic sleep scoring. The main purpose of the classifier is to assign a ...
Statistical Machine Learning in Biomedical Engineering

González Cebrián, Alba (Universitat Politècnica de València, 2024-04-15)

[ES] Esta tesis, desarrollada bajo una beca de formación de personal investigador de la Universitat Politècnica de València, tiene como objetivo proponer y aplicar metodologías de Statistical Machine Learning en contextos ...