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Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
(Elsevier, 2023-07)[Abstract]: COVID-19 is a global threat for the healthcare systems due to the rapid spread of the pathogen that causes it. In such situation, the clinicians must take important decisions, in an environment where medical ... -
Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices
(i6doc.com publication, 2021)[Abstract]: Computer-aided diagnosis plays an important role in the COVID-19 pandemic. Currently, it is recommended to use X-ray imaging to diagnose and assess the evolution in patients. Particularly, radiologists are asked ... -
Comprehensive approach to peritoneal dialysis-related peritonitis by enteric microorganisms: comparison between single organism and polymicrobial infections
(International Society for Pertioneal Dialysis, 2018)[Abstract] Background: Peritoneal infections of enteric origin (EntP) have been classically investigated using partial strategies, focused on particular subgroups of microorganisms. A more comprehensive approach may ... -
Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images
(Springer, 2023-08)[Abstract]: Optical Coherence Tomography Angiography or OCTA represents one of the main means of diagnosis of Age-related Macular Degeneration (AMD), the leading cause of blindness in developed countries. This eye disease ... -
Comprehensive in‐hospital monitoring in acute heart failure: applications for clinical practice and future directions for research. A statement from the Acute Heart Failure Committee of the Heart Failure Association (HFA) of the European Society of Cardiology (ESC)
(Wiley, 2018)[Abstract] This paper provides a practical clinical application of guideline recommendations relating to the inpatient monitoring of patients with acute heart failure, through the evaluation of various clinical, ... -
Comprehensive lung injury pathology induced by mTOR inhibitors
(Springer para Federation of Spanish Oncology Sociesties (FESEO), 2009-08-29)[Abstract] Interstitial lung disease is a rare side effect of temsirolimus treatment in renal cancer patients. Pulmonary fibrosis is characterised by the accumulation of extracellular matrix collagen, fibroblast proliferation ... -
Comprensión de estudiantes de Secundaria sobre la dimensión sociológica de la naturaleza de la ciencia a partir de la historia de la ciencia
(2018)[Resumen] Este artículo presenta un meta-análisis de los resultados de tres estudios cualitativos sobre la comprensión de la dimensión sociológica de la naturaleza de la ciencia (NDC), usando tres casos de historia de ... -
Comprensión de la separación y exposición de las reacciones más comunes de los hijos de padres separados
(Universidade da Coruña, 2003)[Resumen] De todos es conocido que los menores tienen serias dificultades para afrontar la separación parental. Como consecuencia de ello, se han identificado en la literatura una serie de sentimientos negativos relacionados ... -
La comprensión de las frases simples por el niño: procedimientos de comprensión en oraciones activas y pasivas en castellano
(Universidade da Coruña, 1994) -
Compresión de datos de tipo real basada en un novedoso algoritmo de codificación para redes neuronales de impulsos
(Universidade da Coruña, Servizo de Publicacións, 2021)[Resumen] En este trabajo se propone la compresión de datos de tipo real basada en un nuevo algoritmo de codificación para Redes Neuronales de Impulsos inspirado en la conocida modulación por ancho de pulso (PWM). Esta ... -
Compressed and queryable self-indexes for RDF archives
(Springer Nature, 2023-08)[Abstract]: RDF compression and querying are consolidated topics in the Web of Data, with a plethora of solutions to efficiently store and query static datasets. However, as RDF data changes along time, it becomes necessary ... -
Compressed Data Structures for Binary Relations in Practice
(Institute of Electrical and Electronics Engineers, 2020-01-31)[Abstract] Binary relations are commonly used in Computer Science for modeling data. In addition to classical representations using matrices or lists, some compressed data structures have recently been proposed to represent ... -
Compressed data structures for trajectory representation
(2020)[Abstract] The proliferation of GPS devices in smartphones, vehicles and sport wearables in one hand, and geolocation mechanisms (such as smart cards in public transportation) in the other hand, have produced an ...