María Luz Polo Luque-rekin lankidetzan egindako argitalpenak (10)

2024

  1. Predictive health monitoring: Leveraging artificial intelligence for early detection of infectious diseases in nursing home residents through discontinuous vital signs analysis

    Computers in Biology and Medicine, Vol. 174

2022

  1. Machine-Learning Model to Predict the Intradialytic Hypotension Based on Clinical-Analytical Data

    IEEE Access, Vol. 10, pp. 72065-72079

2021

  1. Evaluating service-oriented and microservice architecture patterns to deploy ehealth applications in cloud computing environment

    Applied Sciences (Switzerland), Vol. 11, Núm. 10

  2. Medical prognosis of infectious diseases in nursing homes by applying machine learning on clinical data collected in cloud microservices

    International Journal of Environmental Research and Public Health, Vol. 18, Núm. 24

  3. Predicting the appearance of hypotension during hemodialysis sessions using machine learning classifiers

    International Journal of Environmental Research and Public Health, Vol. 18, Núm. 5, pp. 1-17

2020

  1. Machine learning applied to diagnosis of human diseases: A systematic review

    Applied Sciences (Switzerland), Vol. 10, Núm. 15

  2. Predicting Infectious Diseases by Using Machine Learning Classifiers

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. mHealth System for the Early Detection of Infectious Diseases Using Biomedical Signals

    Lecture Notes in Networks and Systems (Springer), pp. 203-213

2019

  1. Development of ehealth applications-based on microservices in a cloud architecture

    RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, Vol. 2019, Núm. E23, pp. 81-93

  2. Proposal using the cloud architecture in system for the early detection of infectious diseases in elderly people fed by biosensors records

    Proceedings - 2019 7th International Engineering, Sciences and Technology Conference, IESTEC 2019