I. H. Jarman
AuthID: R-006-TM8
1
TITLE: Different Methodologies for Patient Stratification Using Survival Data Full Text
AUTHORS: Ana S Fernandes; Davide Bacciu; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Paulo J G Lisboa;
PUBLISHED: 2010, SOURCE: 6th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, VOLUME: 6160
AUTHORS: Ana S Fernandes; Davide Bacciu; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Paulo J G Lisboa;
PUBLISHED: 2010, SOURCE: 6th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, VOLUME: 6160
2
TITLE: A Clinical Decision Support System for Breast Cancer Patients
AUTHORS: Ana S Fernandes; Pedro Alves; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Paulo J G Lisboa;
PUBLISHED: 2010, SOURCE: 1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems in EMERGING TRENDS IN TECHNOLOGICAL INNOVATION, VOLUME: 314
AUTHORS: Ana S Fernandes; Pedro Alves; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Paulo J G Lisboa;
PUBLISHED: 2010, SOURCE: 1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems in EMERGING TRENDS IN TECHNOLOGICAL INNOVATION, VOLUME: 314
3
TITLE: Stratification Methodologies for Neural Networks Models of Survival
AUTHORS: Ana S Fernandes; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Elia Biganzoli; Chris Bajdik; Paulo J G Lisboa;
PUBLISHED: 2009, SOURCE: 10th International Work-Conference on Artificial Neural Networks (IWANN 2009) in BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1, VOLUME: 5517, ISSUE: PART 1
AUTHORS: Ana S Fernandes; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Elia Biganzoli; Chris Bajdik; Paulo J G Lisboa;
PUBLISHED: 2009, SOURCE: 10th International Work-Conference on Artificial Neural Networks (IWANN 2009) in BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1, VOLUME: 5517, ISSUE: PART 1
4
TITLE: p-Health in breast oncology: a framework for predictive and participatory e-systems
AUTHORS: Ana S Fernandes; Davide Bacciu; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Paulo J G Lisboa;
PUBLISHED: 2009, SOURCE: 2nd International Conference on Developments in eSystems Engineering in 2009 SECOND INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2009)
AUTHORS: Ana S Fernandes; Davide Bacciu; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Paulo J G Lisboa;
PUBLISHED: 2009, SOURCE: 2nd International Conference on Developments in eSystems Engineering in 2009 SECOND INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2009)
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TITLE: Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival
AUTHORS: Ana S Fernandes; Jose M Fonseca; Ian H Jarman; Terence A Etchells; Paulo J.G Lisboa; Elia Biganzoli; Chris Bajdik;
PUBLISHED: 2009, SOURCE: International Journal of Knowledge Engineering and Soft Data Paradigms - IJKESDP, VOLUME: 1, ISSUE: 3
AUTHORS: Ana S Fernandes; Jose M Fonseca; Ian H Jarman; Terence A Etchells; Paulo J.G Lisboa; Elia Biganzoli; Chris Bajdik;
PUBLISHED: 2009, SOURCE: International Journal of Knowledge Engineering and Soft Data Paradigms - IJKESDP, VOLUME: 1, ISSUE: 3
INDEXED IN: CrossRef
6
TITLE: Missing data imputation in longitudinal cohort studies - application of PLANN-ARD in breast cancer survival
AUTHORS: Ana S Fernandes; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Ella Biganzoli; Chris Bajdik; Paulo J G Lisboa;
PUBLISHED: 2008, SOURCE: 7th International Conference on Machine Learning and Applications in SEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS
AUTHORS: Ana S Fernandes; Ian H Jarman; Terence A Etchells; Jose M Fonseca ; Ella Biganzoli; Chris Bajdik; Paulo J G Lisboa;
PUBLISHED: 2008, SOURCE: 7th International Conference on Machine Learning and Applications in SEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS