María Teresa García-Ordás

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 6

Top Topics

Urinary Incontinence

Respiratory Tract

Top Venues

Sensors (Basel, Switzerland)

Healthcare (Basel, Switzerland)

International journal of environmental research and public health

This page only lists publications with an associated author ORCID identifier.

Publications

José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal, Rafael Pastor-Vargas, María Teresa García-Ordás
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study. JMIR medical informatics 10 (2) (2022)
José Alberto Benítez-Andrades, María Teresa García-Ordás, María Álvarez-González, Raquel Leirós-Rodríguez, Ana F López Rodríguez
Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques. Digital health 8 (2022)
Nahúm Cueto López, María Teresa García-Ordás, Facundo Vitelli-Storelli, Pablo Fernandez-Navarro, Camilo Palazuelos, Rocío Alaiz-Rodríguez
Evaluation of Feature Selection Techniques for Breast Cancer Risk Prediction. International journal of environmental research and public health 18 (20) (2021)
José Alberto Benítez-Andrades, Natalia Arias-Ramos, María Teresa García-Ordás, Marta Martínez-Martínez, Isaías García-Rodríguez
Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children. Sensors (Basel, Switzerland) 20 (5) (2020)
María Teresa García-Ordás, José Alberto Benítez-Andrades, Isaías García-Rodríguez, Carmen Benavides, Héctor Alaiz-Moretón
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data. Sensors (Basel, Switzerland) 20 (4) (2020)
María Teresa García-Ordás, Natalia Arias-Ramos, Carmen Benavides, Óscar García-Olalla, José Alberto Benítez-Andrades
Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19. Healthcare (Basel, Switzerland) 8 (4) (2020)