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Publication details

Document type
Academic documents

Document subtype
Master's dissertation

Title
A supervised learning approach for prognostic prediction in ALS using disease progression groups and patient profiles

Participants in the publication
Sofia Isabel Ferro Pires (Author)
LASIGE - LASIGE Computer Science and Engineering Research Centre
Sara Alexandra Cordeiro Madeira (Adviser)
Dep. Informatica
LASIGE - LASIGE Computer Science and Engineering Research Centre

Date of Publication
2018-12-12

Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Publication Identifiers

Document Identifiers
HANDLE - 10451/36869
TID - 202191362
URL - http://hdl.handle.net/10451/36869

Keywords
Esclerose lateral amiotrófica Aprendizagem supervisionada Estratificação de pacientes Grupos de progressão da doença Perfis de pacientes Ventilação não-invásiva


Export

APA
Sofia Isabel Ferro Pires, (2018). A supervised learning approach for prognostic prediction in ALS using disease progression groups and patient profiles. http://hdl.handle.net/10451/36869 Sara Alexandra Cordeiro Madeira,

IEEE
Sofia Isabel Ferro Pires, "A supervised learning approach for prognostic prediction in ALS using disease progression groups and patient profiles", 2018.

BIBTEX
@MastersThesis{43145, author = {Sofia Isabel Ferro Pires}, title = {A supervised learning approach for prognostic prediction in ALS using disease progression groups and patient profiles}, school = {FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA}, year = {2018}, OPTtype = {Documentos Académicos}, OPTmonth = {Dec} }