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TITLE: Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis  Full Text
AUTHORS: Martins, Andreia S.; Gromicho, Marta; Pinto, Susana; de Carvalho, Mamede; Madeira, Sara C.;
PUBLISHED: 2022, SOURCE: IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, VOLUME: 19, ISSUE: 5
INDEXED IN: WOS
33
TITLE: Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis
AUTHORS: Diogo F Soares; Rui Henriques; Marta Gromicho; Mamede de Carvalho; Sara C Madeira;
PUBLISHED: 2022, SOURCE: J. Biomed. Informatics, VOLUME: 134
INDEXED IN: DBLP
IN MY: DBLP
34
TITLE: G-Tric: generating three-way synthetic datasets with triclustering solutions  Full Text
AUTHORS: Lobo, J; Henriques, Rui; Madeira, SC;
PUBLISHED: 2021, SOURCE: BMC BIOINFORMATICS, VOLUME: 22, ISSUE: 1
INDEXED IN: Scopus WOS
35
TITLE: G-Tric: generating three-way synthetic datasets with triclustering solutions
AUTHORS: João Lobo; Rui Henriques; Sara C Madeira;
PUBLISHED: 2021, SOURCE: BMC Bioinform., VOLUME: 22, ISSUE: 1
INDEXED IN: DBLP
IN MY: DBLP
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TITLE: Customized Root-Analogue Implants: A Review on Outcomes from Clinical Trials and Case Reports  Full Text
AUTHORS: Dantas, T; Madeira, S; Gasik, M; Vaz, P; Silva, F;
PUBLISHED: 2021, SOURCE: MATERIALS, VOLUME: 14, ISSUE: 9
INDEXED IN: Scopus WOS
40
TITLE: Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis
AUTHORS: Tiago Leão; Sara C Madeira; Marta Gromicho; Mamede de Carvalho; Alexandra M Carvalho;
PUBLISHED: 2021, SOURCE: J. Biomed. Informatics, VOLUME: 117
INDEXED IN: DBLP
IN MY: DBLP
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