Author of the publication

Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction.

, , , , and . MESA, page 1-6. IEEE, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach., , , , and . Artif. Intell. Medicine, (2020)A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution., , , and . IEEE J. Biomed. Health Informatics, 25 (10): 3983-3994 (2021)Machine Learning approaches in Predictive Medicine using Electronic Health Records data. (Approches d'apprentissage automatique en médecine prédictive à l'aide des données des dossiers médicaux électroniques).. Marche Polytechnic University, Ancona, Italy, (2021)Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data., , , , , , , and . ISCT, page 37-40. IEEE, (2019)A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy., , , and . IEEE Access, (2021)A sequential deep learning application for recognising human activities in smart homes., , , and . Neurocomputing, (2020)Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction., , , , and . MESA, page 1-6. IEEE, (2018)Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing., , , , and . AVR (2), volume 10851 of Lecture Notes in Computer Science, page 422-434. Springer, (2018)Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine., , , and . IEEE J. Biomed. Health Informatics, 24 (1): 235-246 (2020)A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets., , , , and . Comput. Biol. Medicine, (September 2023)