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David Riaño

Showing results (1-10 of 20) with videos related to

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International Journal of Medical Informatics|August 25, 2019
Persistence of data-driven knowledge to predict breast cancer survivalRicardo Kleinlein, David Riaño
Journal of Biomedical Informatics|September 25, 2017
Computer technologies to integrate medical treatments to manage multimorbidityDavid Riaño, Wilfrido Ortega
Journal of Clinical Medicine|September 10, 2021
Predicting Duration of Mechanical Ventilation in Acute Respiratory Distress Syndrome Using Supervised Machine LearningMohammed Sayed, David Riaño, Jesús Villar
Computer Methods and Programs in Biomedicine|March 17, 2018
Formalization and acquisition of temporal knowledge for decision support in medical processesAida Kamišalić, David Riaño, Tatjana Welzer
Studies in Health Technology and Informatics|May 20, 2008
Knowledge engineering as a support for building an actor profile ontology for integrating Home-Care systemsKarina Gibert, Aida Valls, David Riaño
Studies in Health Technology and Informatics|October 12, 2018
Knowledge Formalization to Support Decision-Making in Heart Failure TreatmentAida Kamišalić, David Riaño, Tatjana Welzer
Critical Care (London, England)|April 21, 2021
Novel criteria to classify ARDS severity using a machine learning approachMohammed Sayed, David Riaño, Jesús Villar
Artificial Intelligence in Medicine|May 18, 2021
Preface: AIME 2019David Riaño, Szymon Wilk, Annette Ten Teije
International Journal of Medical Informatics|April 1, 2018
Improving resident's skills in the management of circulatory shock with a knowledge-based e-learning toolDavid Riaño, Francis Real, Jose Ramon Alonso
Artificial Intelligence in Medicine|October 15, 2019
Ten years of knowledge representation for health care (2009-2018): Topics, trends, and challengesDavid Riaño, Mor Peleg, Annette Ten Teije
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
International Journal of Medical Informatics|August 25, 2019
Persistence of data-driven knowledge to predict breast cancer survivalRicardo Kleinlein, David Riaño
Journal of Biomedical Informatics|September 25, 2017
Computer technologies to integrate medical treatments to manage multimorbidityDavid Riaño, Wilfrido Ortega
Journal of Clinical Medicine|September 10, 2021
Predicting Duration of Mechanical Ventilation in Acute Respiratory Distress Syndrome Using Supervised Machine LearningMohammed Sayed, David Riaño, Jesús Villar
Computer Methods and Programs in Biomedicine|March 17, 2018
Formalization and acquisition of temporal knowledge for decision support in medical processesAida Kamišalić, David Riaño, Tatjana Welzer
Studies in Health Technology and Informatics|May 20, 2008
Knowledge engineering as a support for building an actor profile ontology for integrating Home-Care systemsKarina Gibert, Aida Valls, David Riaño
Studies in Health Technology and Informatics|October 12, 2018
Knowledge Formalization to Support Decision-Making in Heart Failure TreatmentAida Kamišalić, David Riaño, Tatjana Welzer
Critical Care (London, England)|April 21, 2021
Novel criteria to classify ARDS severity using a machine learning approachMohammed Sayed, David Riaño, Jesús Villar
Artificial Intelligence in Medicine|May 18, 2021
Preface: AIME 2019David Riaño, Szymon Wilk, Annette Ten Teije
International Journal of Medical Informatics|April 1, 2018
Improving resident's skills in the management of circulatory shock with a knowledge-based e-learning toolDavid Riaño, Francis Real, Jose Ramon Alonso
Artificial Intelligence in Medicine|October 15, 2019
Ten years of knowledge representation for health care (2009-2018): Topics, trends, and challengesDavid Riaño, Mor Peleg, Annette Ten Teije
Pageof 2