Daniela Filipa Ferreira dos Santos


AuthID: R-00G-F6X

Publicações Confirmadas: 28



21
TÍTULO: A clinical risk matrix for obstructive sleep apnea using Bayesian network approaches
AUTORES: Daniela Ferreira Santos ; Pedro Pereira Rodrigues ;
PUBLICAÇÃO: 2018, FONTE: International Journal of Data Science and Analytics
INDEXADO EM: CrossRef: 6
NO MEU: ORCID
22
TÍTULO: Causality assessment of adverse drug reaction reports using an expert-defined Bayesian network  Full Text
AUTORES: Rodrigues, PP ; Daniela Ferreira Santos ; Silva, A ; Polonia, J ; Ribeiro Vaza, I ;
PUBLICAÇÃO: 2018, FONTE: 16th European Conference on Artificial Intelligence in Medicine (AIME) in ARTIFICIAL INTELLIGENCE IN MEDICINE, VOLUME: 91
INDEXADO EM: Scopus WOS DBLP CrossRef: 19
NO MEU: ORCID
23
TÍTULO: Finding Groups in Obstructive Sleep Apnea Patients: A Categorical Cluster Analysis
AUTORES: Daniela Ferreira Santos ; Pedro Pereira Rodrigues ;
PUBLICAÇÃO: 2018, FONTE: 31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018 in 31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018, Karlstad, Sweden, June 18-21, 2018, VOLUME: 2018-June
INDEXADO EM: Scopus DBLP CrossRef: 1
NO MEU: ORCID
24
TÍTULO: Impact of Imputing Missing Data in Bayesian Network Structure Learning for Obstructive Sleep Apnea Diagnosis
AUTORES: Daniela Ferreira Santos ; Matilde Monteiro Soares ; Pedro Pereira Rodrigues ;
PUBLICAÇÃO: 2018, FONTE: 40th Medical Informatics in Europe Conference, MIE 2018 in Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth - Proceedings of MIE 2018, Medical Informatics Europe, Gothenburg, Sweden, April 24-26, 2018, VOLUME: 247
INDEXADO EM: Scopus DBLP
NO MEU: ORCID
25
TÍTULO: Phenotyping Obstructive Sleep Apnea Patients: A First Approach to Cluster Visualization
AUTORES: Daniela Ferreira Santos ; Pedro Pereira Rodrigues ;
PUBLICAÇÃO: 2018, FONTE: Special Topic Conference of the European-Fedeeration-for-Medical-Informatics (EFMI STC) in DECISION SUPPORT SYSTEMS AND EDUCATION: HELP AND SUPPORT IN HEALTHCARE, VOLUME: 255
INDEXADO EM: Scopus WOS DBLP
NO MEU: ORCID
26
TÍTULO: Implementing Guidelines for Causality Assessment of Adverse Drug Reaction Reports: A Bayesian Network Approach
AUTORES: Pedro Pereira Rodrigues ; Daniela Ferreira Santos ; Ana Silva ; Jorge Polónia ; Inês Ribeiro Vaz ;
PUBLICAÇÃO: 2017, FONTE: Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings, VOLUME: 10259
INDEXADO EM: Scopus DBLP CrossRef: 1
NO MEU: ORCID
27
TÍTULO: Improving diagnosis in Obstructive Sleep Apnea with clinical data: a Bayesian network approach
AUTORES: Daniela Ferreira Santos ; Pedro Pereira Rodrigues ;
PUBLICAÇÃO: 2017, FONTE: 30th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS) in 2017 IEEE 30TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), VOLUME: 2017-June
INDEXADO EM: Scopus WOS DBLP CrossRef: 3
NO MEU: ORCID
28
TÍTULO: Obstructive Sleep Apnea diagnosis: the Bayesian network model revisited
AUTORES: Pedro Pereira Rodrigues ; Daniela Ferreira Santos ; Liliana Leite;
PUBLICAÇÃO: 2015, FONTE: 28th IEEE International Symposium on Computer-Based Medical Systems (CBMS) in 2015 IEEE 28TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), VOLUME: 2015-July
INDEXADO EM: Scopus WOS DBLP CrossRef: 6
NO MEU: ORCID
Página 3 de 3. Total de resultados: 28.

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