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Thrombosis and Haemostasis
|
June 9, 2021
Machine Learning to Predict Outcomes in Patients with Acute Pulmonary Embolism Who Prematurely Discontinued Anticoagulant Therapy
Damián Mora, José A Nieto, Jorge Mateo, et al.
Anales De Pediatria
|
May 30, 2020
[The chest x-ray in acute bronchiolitis: Technical quality, findings, and an assessment of its reliability]
Juan Manuel Rius Peris, Ana Isabel Maraña Pérez, Ana Valiente Armero, et al.
Journal of Experimental Zoology. Part A, Ecological and Integrative Physiology
|
May 11, 2026
Beyond Genes: Metabolomic Evidence Indicates Potential Species-Level Differentiation in European Wild Rabbits
César Cortés-García, Mette Skou Hedemann, Jorge Mateo-López, et al.
International Journal of Molecular Sciences
|
July 12, 2025
Untargeted Metabolomics to Harness Ideal Protein Concept and Mitigate Environmental Impact in Rabbit Models
Pablo Jesús Marín-García, Jorge Mateo-López, César Cortés-García, et al.
Computers in Biology and Medicine
|
July 6, 2025
Improving prediction of fragility fractures in postmenopausal women using random forest
Jorge Mateo, Ricardo Usategui-Martín, Ana M Torres, et al.
Journal of Affective Disorders
|
June 20, 2020
Predictive factors of functional outcome in patients with bipolar I disorder: a five-year follow-up
Ana López-Villarreal, Eva María Sánchez-Morla, Estela Jiménez-López, et al.
European Archives of Psychiatry and Clinical Neuroscience
|
August 19, 2019
Progression of the functional deficit in a group of patients with bipolar disorder: a cluster analysis based on longitudinal data
Ana López-Villarreal, Eva María Sánchez-Morla, Estela Jiménez-López, et al.
Scientific Reports
|
December 8, 2025
Assessment of the risk of osteoporotic bone fracture in postmenopausal women using machine learning methods
Ricardo Usategui-Martín, Jorge Mateo, Francisco Campillo-Sánchez, et al.
International Journal of Molecular Sciences
|
August 28, 2025
A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, and <i>ACE2</i>
Sofía Jaurrieta-Largo, José Pablo Miramontes-González, Luis Corral-Gudino, et al.
British Journal of Haematology
|
March 21, 2023
Machine learning to predict major bleeding during anticoagulation for venous thromboembolism: possibilities and limitations
Damián Mora, Jorge Mateo, José A Nieto, et al.
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of 6
Search research articles
Search
Showing results (41-50 of 52) with videos related to
Sort By:
Page
of 6
Thrombosis and Haemostasis
|
June 9, 2021
Machine Learning to Predict Outcomes in Patients with Acute Pulmonary Embolism Who Prematurely Discontinued Anticoagulant Therapy
Damián Mora, José A Nieto, Jorge Mateo, et al.
Anales De Pediatria
|
May 30, 2020
[The chest x-ray in acute bronchiolitis: Technical quality, findings, and an assessment of its reliability]
Juan Manuel Rius Peris, Ana Isabel Maraña Pérez, Ana Valiente Armero, et al.
Journal of Experimental Zoology. Part A, Ecological and Integrative Physiology
|
May 11, 2026
Beyond Genes: Metabolomic Evidence Indicates Potential Species-Level Differentiation in European Wild Rabbits
César Cortés-García, Mette Skou Hedemann, Jorge Mateo-López, et al.
International Journal of Molecular Sciences
|
July 12, 2025
Untargeted Metabolomics to Harness Ideal Protein Concept and Mitigate Environmental Impact in Rabbit Models
Pablo Jesús Marín-García, Jorge Mateo-López, César Cortés-García, et al.
Computers in Biology and Medicine
|
July 6, 2025
Improving prediction of fragility fractures in postmenopausal women using random forest
Jorge Mateo, Ricardo Usategui-Martín, Ana M Torres, et al.
Journal of Affective Disorders
|
June 20, 2020
Predictive factors of functional outcome in patients with bipolar I disorder: a five-year follow-up
Ana López-Villarreal, Eva María Sánchez-Morla, Estela Jiménez-López, et al.
European Archives of Psychiatry and Clinical Neuroscience
|
August 19, 2019
Progression of the functional deficit in a group of patients with bipolar disorder: a cluster analysis based on longitudinal data
Ana López-Villarreal, Eva María Sánchez-Morla, Estela Jiménez-López, et al.
Scientific Reports
|
December 8, 2025
Assessment of the risk of osteoporotic bone fracture in postmenopausal women using machine learning methods
Ricardo Usategui-Martín, Jorge Mateo, Francisco Campillo-Sánchez, et al.
International Journal of Molecular Sciences
|
August 28, 2025
A Machine Learning Approach to Understanding the Genetic Role in COVID-19 Prognosis: The Influence of Gene Polymorphisms Related to Inflammation, Vitamin D, and <i>ACE2</i>
Sofía Jaurrieta-Largo, José Pablo Miramontes-González, Luis Corral-Gudino, et al.
British Journal of Haematology
|
March 21, 2023
Machine learning to predict major bleeding during anticoagulation for venous thromboembolism: possibilities and limitations
Damián Mora, Jorge Mateo, José A Nieto, et al.
Page
of 6