Miguel Suárez

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 15

Top Topics

Prognostic Factors

Machine Learning

Top Venues

International journal of molecular sciences

Healthcare (Basel, Switzerland)

Bioengineering (Basel, Switzerland)

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

Publications

Miguel Suárez, Pablo Martínez-Blanco, Sergio Gil Rojas, Ana M Torres, Miguel Torralba González de Suso, Jorge Mateo
Assessment of Albumin-Incorporating Scores at Hepatocellular Carcinoma Diagnosis Using Machine Learning Techniques: An Evaluation of Prognostic Relevance. Bioengineering (Basel, Switzerland) 11 (8) (2024)
Sergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco, Ana M Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba González de Suso, Jorge Mateo
Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma. International journal of molecular sciences 25 (4) (2024)
Raquel Gómez-Molina, Miguel Suárez, Raquel Martínez, Marifina Chilet, Josep Miquel Bauçà, Jorge Mateo
Utility of Stool-Based Tests for Colorectal Cancer Detection: A Comprehensive Review. Healthcare (Basel, Switzerland) 12 (16) (2024)
Raquel Gómez-Molina, Miguel Suárez, Raquel Martínez, Marifina Chilet, Josep Miquel Bauçà, Jorge Mateo
Utility of Stool-Based Tests for Colorectal Cancer Detection: A Comprehensive Review. Healthcare (Basel, Switzerland) 12 (16) (2024)
Sergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco, Ana M Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba González de Suso, Jorge Mateo
Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma. International journal of molecular sciences 25 (4) (2024)
Sergio Gil Rojas, Miguel Suárez, Pablo Martínez-Blanco, Ana M Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba González de Suso, Jorge Mateo
Prognostic Impact of Metabolic Syndrome and Steatotic Liver Disease in Hepatocellular Carcinoma Using Machine Learning Techniques. Metabolites 14 (6) (2024)
Pablo Martínez-Blanco, Miguel Suárez, Sergio Gil-Rojas, Ana María Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba González de Suso, Jorge Mateo
Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence. Diagnostics (Basel, Switzerland) 14 (4) (2024)
Sergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco, Ana M Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba González de Suso, Jorge Mateo
Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma. International journal of molecular sciences 25 (4) (2024)
Pablo Martínez-Blanco, Miguel Suárez, Sergio Gil-Rojas, Ana María Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba González de Suso, Jorge Mateo
Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence. Diagnostics (Basel, Switzerland) 14 (4) (2024)
Miguel Suárez, Pablo Martínez-Blanco, Sergio Gil Rojas, Ana M Torres, Miguel Torralba González de Suso, Jorge Mateo
Assessment of Albumin-Incorporating Scores at Hepatocellular Carcinoma Diagnosis Using Machine Learning Techniques: An Evaluation of Prognostic Relevance. Bioengineering (Basel, Switzerland) 11 (8) (2024)
Sergio Gil Rojas, Miguel Suárez, Pablo Martínez-Blanco, Ana M Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba González de Suso, Jorge Mateo
Prognostic Impact of Metabolic Syndrome and Steatotic Liver Disease in Hepatocellular Carcinoma Using Machine Learning Techniques. Metabolites 14 (6) (2024)
Sergio Gil Rojas, Miguel Suárez, Pablo Martínez-Blanco, Ana M Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba González de Suso, Jorge Mateo
Prognostic Impact of Metabolic Syndrome and Steatotic Liver Disease in Hepatocellular Carcinoma Using Machine Learning Techniques. Metabolites 14 (6) (2024)
Sergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco, Ana M Torres, Natalia Martínez-García, Pilar Blasco, Miguel Torralba González de Suso, Jorge Mateo
Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma. International journal of molecular sciences 25 (4) (2024)
Miguel Suárez, Raquel Martínez, Ana María Torres, Beatriz Torres, Jorge Mateo
A Machine Learning Method to Identify the Risk Factors for Liver Fibrosis Progression in Nonalcoholic Steatohepatitis. Digestive diseases and sciences (2023)
Miguel Suárez, Raquel Martínez, Ana María Torres, Antonio Ramón, Pilar Blasco, Jorge Mateo
Personalized Risk Assessment of Hepatic Fibrosis after Cholecystectomy in Metabolic-Associated Steatotic Liver Disease: A Machine Learning Approach. Journal of clinical medicine 12 (20) (2023)