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Digestive Diseases and Sciences
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July 21, 2023
A Machine Learning Method to Identify the Risk Factors for Liver Fibrosis Progression in Nonalcoholic Steatohepatitis
Miguel Suárez, Raquel Martínez, Ana María Torres, et al.
Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research
|
May 9, 2023
Machine learning, a new tool for the detection of immunodeficiency patterns in systemic lupus erythematosus
Iciar Usategui, Julia Barbado, Ana María Torres, et al.
Viruses
|
November 25, 2023
Predictive Model for Mortality in Severe COVID-19 Patients across the Six Pandemic Waves
Nazaret Casillas, Antonio Ramón, Ana María Torres, et al.
Research and Practice in Thrombosis and Haemostasis
|
November 17, 2025
Machine learning for predicting thrombotic recurrence in antiphospholipid syndrome
Ana Marco-Rico, Ihosvany Fernández-Bello, Jorge Mateo-Sotos, et al.
Journal of Clinical Medicine
|
April 13, 2024
Personalized Assessment of Mortality Risk and Hospital Stay Duration in Hospitalized Patients with COVID-19 Treated with Remdesivir: A Machine Learning Approach
Antonio Ramón, Andrés Bas, Santiago Herrero, et al.
Journal of Alzheimer'S Disease : JAD
|
September 18, 2023
Inter-Hospital Advanced and Mild Alzheimer's Disease Classification Based on Electroencephalogram Measurements via Classical Machine Learning Algorithms
Alfonso Parreño Torres, Carlos Roncero-Parra, Alejandro L Borja, et al.
World Journal of Hepatology
|
March 11, 2026
Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges
Miguel Suarez, Raquel Martínez, Félix González-Martínez, et al.
Journal of Clinical Medicine
|
October 28, 2023
Personalized Risk Assessment of Hepatic Fibrosis after Cholecystectomy in Metabolic-Associated Steatotic Liver Disease: A Machine Learning Approach
Miguel Suárez, Raquel Martínez, Ana María Torres, et al.
Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research
|
July 19, 2022
eXtreme Gradient Boosting-based method to classify patients with COVID-19
Antonio Ramón, Ana Maria Torres, Javier Milara, et al.
Diagnostics (Basel, Switzerland)
|
September 28, 2023
A Machine Learning-Based Method for Detecting Liver Fibrosis
Miguel Suárez, Raquel Martínez, Ana María Torres, et al.
Page
of 6
Search research articles
Search
Showing results (11-20 of 52) with videos related to
Sort By:
Page
of 6
Digestive Diseases and Sciences
|
July 21, 2023
A Machine Learning Method to Identify the Risk Factors for Liver Fibrosis Progression in Nonalcoholic Steatohepatitis
Miguel Suárez, Raquel Martínez, Ana María Torres, et al.
Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research
|
May 9, 2023
Machine learning, a new tool for the detection of immunodeficiency patterns in systemic lupus erythematosus
Iciar Usategui, Julia Barbado, Ana María Torres, et al.
Viruses
|
November 25, 2023
Predictive Model for Mortality in Severe COVID-19 Patients across the Six Pandemic Waves
Nazaret Casillas, Antonio Ramón, Ana María Torres, et al.
Research and Practice in Thrombosis and Haemostasis
|
November 17, 2025
Machine learning for predicting thrombotic recurrence in antiphospholipid syndrome
Ana Marco-Rico, Ihosvany Fernández-Bello, Jorge Mateo-Sotos, et al.
Journal of Clinical Medicine
|
April 13, 2024
Personalized Assessment of Mortality Risk and Hospital Stay Duration in Hospitalized Patients with COVID-19 Treated with Remdesivir: A Machine Learning Approach
Antonio Ramón, Andrés Bas, Santiago Herrero, et al.
Journal of Alzheimer'S Disease : JAD
|
September 18, 2023
Inter-Hospital Advanced and Mild Alzheimer's Disease Classification Based on Electroencephalogram Measurements via Classical Machine Learning Algorithms
Alfonso Parreño Torres, Carlos Roncero-Parra, Alejandro L Borja, et al.
World Journal of Hepatology
|
March 11, 2026
Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges
Miguel Suarez, Raquel Martínez, Félix González-Martínez, et al.
Journal of Clinical Medicine
|
October 28, 2023
Personalized Risk Assessment of Hepatic Fibrosis after Cholecystectomy in Metabolic-Associated Steatotic Liver Disease: A Machine Learning Approach
Miguel Suárez, Raquel Martínez, Ana María Torres, et al.
Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research
|
July 19, 2022
eXtreme Gradient Boosting-based method to classify patients with COVID-19
Antonio Ramón, Ana Maria Torres, Javier Milara, et al.
Diagnostics (Basel, Switzerland)
|
September 28, 2023
A Machine Learning-Based Method for Detecting Liver Fibrosis
Miguel Suárez, Raquel Martínez, Ana María Torres, et al.
Page
of 6