Maria José Gomes Pedroto


AuthID: R-00H-YDH

Publicações Confirmadas: 8



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TÍTULO: Clinical model for Hereditary Transthyretin Amyloidosis age of onset prediction  Full Text
AUTORES: Pedroto, Maria ; Coelho, Teresa; Jorge, Alipio ; Mendes Moreira, Joao ;
PUBLICAÇÃO: 2023, FONTE: FRONTIERS IN NEUROLOGY, VOLUME: 14
INDEXADO EM: Scopus WOS CrossRef Unpaywall
NO MEU: ORCID
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TÍTULO: Combining Neighbor Models to Improve Predictions of Age of Onset of ATTRv Carriers
AUTORES: Pedroto, Maria ; Jorge, Alipio ; Mendes Moreira, Joao ; Coelho, Teresa;
PUBLICAÇÃO: 2023, FONTE: 22nd EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT II, VOLUME: 14116
INDEXADO EM: Scopus WOS DBLP CrossRef Unpaywall
NO MEU: ORCID
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TÍTULO: Geovisualisation Tools for Reporting and Monitoring Transthyretin-Associated Familial Amyloid Polyneuropathy Disease
AUTORES: Lopo, Ruben X. ; Jorge, Alipio M. ; Pedroto, Maria ;
PUBLICAÇÃO: 2023, FONTE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I, VOLUME: 1752
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
5
TÍTULO: Improving the Prediction of Age of Onset of TTR-FAP Patients Using Graph-Embedding Features
AUTORES: Pedroto, Maria ; Jorge, Alipio ; Mendes Moreira, Joao ; Coelho, Teresa;
PUBLICAÇÃO: 2022, FONTE: 21st EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022, VOLUME: 13566
INDEXADO EM: Scopus WOS DBLP CrossRef
NO MEU: ORCID
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TÍTULO: Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction
AUTORES: Maria Pedroto ; Alipio Jorge ; Joao Mendes Moreira ; Teresa Coelho;
PUBLICAÇÃO: 2019, FONTE: 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB) in PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, VOLUME: 803
INDEXADO EM: Scopus WOS DBLP CrossRef: 2
NO MEU: ORCID
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TÍTULO: Predicting Age of Onset in TTR-FAP Patients with Genealogical Features
AUTORES: Maria Pedroto ; Alipio Jorge ; João Mendes Moreira ; Teresa Coelho;
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: 2
NO MEU: ORCID | CIÊNCIAVITAE
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