Browsing by Author "Míguez-Rey, Enrique"
Now showing items 1-6 of 6
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Análisis de datos multimodales para la toma de decisiones clínicas utilizando Inteligencia Artificial en el contexto de la COVID-19
Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Míguez-Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (2023-12-14)[Abstract]: La COVID-19 es una enfermedad pulmonar infecciosa causante de la pandemia mundial del año 2020. En los momentos críticos de las emergencias sanitarias, el equipo médico debe tomar decisiones importantes en un ... -
Discontinuation due to neuropsychiatric adverse events with efavirenz- and dolutegravir-based antiretroviral therapy: a comparative real-life study
Fernández-Bargiela, Noelia; Rotea-Salvo, Sandra; Margusino-Framiñán, Luis; Balboa-Barreiro, Vanesa; Martín-Herranz, Isabel; Castro-Iglesias, Ángeles; Mena-De-Cea, Álvaro; López-Calvo, Soledad; Vázquez-Rodríguez, Pilar; Míguez-Rey, Enrique; Cid-Silva, Purificación (BMJ, 2020-10-13)[Abstract] Objectives: Despite the high efficacy of antiretroviral treatment, no drug is free from adverse events (AEs). Efavirenz (EFV) and dolutegravir (DTG) are antiretroviral drugs for which neuropsychiatric adverse ... -
Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case study
Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Míguez-Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2024-10)[Abstract]: COVID-19 is an infectious disease that caused a global pandemic in 2020. In the critical moments of this healthcare emergencies, the medical staff needs to take important decisions in a context of limited ... -
Explainable learning to analyze the outcome of COVID-19 patients using clinical data
Olañeta Fariña, Daniel; Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Míguez-Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier B.V., 2023)[Abstract]: Patients at high risk of contracting COVID-19 require specialized monitoring throughout their illness to ensure optimal treatment at each stage. To support this monitoring, Computer-Aided Diagnosis (CAD) methods ... -
GRALENIA: Antimicrobial Resistance Management based on Natural Language and Artificial Intelligence
Bernardo-Castiñeira, Cristóbal; Bou, Germán; Campos, Manuel; Cánovas-Segura, Bernardo; Figueiras Gómez, Sergio; Gómez-Rodríguez, Carlos; Míguez-Rey, Enrique; Vilares, Jesús (CEUR-WS, 2024)[Abstract]: The objective of GRALENIA project is to develop a multidisciplinary, comprehensive and interoperable platform incorporating artificial intelligence algorithms and natural language processing techniques to improve ... -
Renal profile of patients treated with elvitegravir/ cobicistat/emtricitabine/tenofovir alafenamide fumarate and dolutegravir/abacavir/lamivudine: 120-week results from a real-world cohort
Rotea-Salvo, Sandra; Martínez-Pradeda, Alejandro; Fernández-Oliveira, Carla; Giménez-Arufe, Víctor; Balboa-Barreiro, Vanesa; Margusino-Framiñán, Luis; Mena-De-Cea, Álvaro; Vázquez-Rodríguez, Pilar; Castro-Iglesias, Ángeles; López-Calvo, Soledad; Martín-Herranz, Isabel; Míguez-Rey, Enrique; Cid-Silva, Purificación (BMJ, 2021-10-14)[Abstract] Elvitegravir/cobicistat/emtricitabine/tenofovir alafenamide fumarate (EVG/c/FTC/TAF) and dolutegravir/abacavir/lamivudine (DTG/ABC/3TC) are currently available for HIV patients. Objectives: This study evaluated ...
