most citedTraditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study

51 citations · 80 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024★ 51 cited

Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study

José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal +2

Background: Eating disorders are increasingly prevalent, and social networks offer valuable information. Objective: Our goal was to identify efficient machine learning models for c…

cs.LG2024★ 29 cited

Determining the severity of Parkinson's disease in patients using a multi task neural network

María Teresa García-Ordás, José Alberto Benítez-Andrades, Jose Aveleira-Mata +2

Parkinson's disease is easy to diagnose when it is advanced, but it is very difficult to diagnose in its early stages. Early diagnosis is essential to be able to treat the symptoms…