Documentos de Paliouras G. | REDI

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Mostrando 4 resultados de: 4

Filtros aplicados

Área temáticas: "Medicina y salud"

Subtipo de publicación

Conference Object(1)

Publisher

ACM Transactions on Computing for Healthcare(1)

BMC Medical Informatics and Decision Making(1)

Journal of Web Semantics(1)

Proceedings - IEEE Symposium on Computer-Based Medical Systems(1)

Área temáticas

Biblioteconomía y Documentación informatica(1)

Ciencias de la computación(1)

Enfermedades(1)

Problemas sociales y servicios a grupos(1)

Programación informática, programas, datos, seguridad(1)

Área de conocimiento

Aprendizaje automático(2)

Ciencias de la computación(2)

Análisis de datos(1)

Cuidado de la salud(1)

Imágenes médicas(1)

Año de Publicación

Origen

Palabras Claves

Machine learning(2)

Drug–drug interactions(1)

A data-driven approach for analyzing healthcare services extracted from clinical records

Conference Object

Abstract: Cancer remains one of the major public health challenges worldwide. After cardiovascular diseases, c

Palabras claves:

Data-driven, EHR, Hospitalization processes, lung cancer, Patient management

María-Esther Vidal, Menasalvas Ruiz E., Paliouras G., Provencio Pulla M., Rodriguez-Gonzalez A., Scurti M., Torrente M., Vogiatzis D.

Improving Early Prognosis of Dementia Using Machine Learning Methods

Abstract: Early and precise prognosis of dementia is a critical medical challenge. The design of an optimal co

Palabras claves:

dementia, Machine learning, prognosis

Aisopos F., Garrard P., Katsimpras G., María-Esther Vidal, Paliouras G.

Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records

Abstract: Background: Dementia develops as cognitive abilities deteriorate, and early detection is critical fo

Palabras claves:

CAMCOG, data science, dementia, LIME, Machine learning, Mini mental score

Aisopos F., Garrard P., María-Esther Vidal, Paliouras G., Vyas A.

Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities

Abstract: In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integra

Palabras claves:

covid-19, Drug–drug interactions, Knowledge graphs

Aisopos F., Bougiatiotis K., Iglesias E., Jozashoori S., Krithara A., María-Esther Vidal, Niazmand E., Padiya T., Paliouras G., Rivas A., Rohde P.D., Sakor A.