Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals
Data de Publicação: | 2020 |
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Tipo de documento: | Dissertação |
Título da fonte: | Portal de Dados Abertos da CAPES |
Texto Completo: | https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9290214 |
id |
BRCRIS_c35124058034808f5776f84404bf4a08 |
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network_acronym_str |
CAPES |
network_name_str |
Portal de Dados Abertos da CAPES |
dc.title.pt-BR.fl_str_mv |
Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals |
title |
Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals |
spellingShingle |
Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals Frequência Cardíaca e Condutância da Pele Heart Rate and Skin Conductance |
title_short |
Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals |
title_full |
Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals |
title_fullStr |
Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals |
title_full_unstemmed |
Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals |
title_sort |
Applying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological Signals |
topic |
Frequência Cardíaca e Condutância da Pele Heart Rate and Skin Conductance |
publishDate |
2020 |
format |
masterThesis |
url |
https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9290214 |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Alexandre Plastino de Carvalho |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/4985266524417261 |
dc.contributor.advisor1orcid.por.fl_str_mv |
https://orcid.org/0000000340390915 |
dc.publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL FLUMINENSE |
publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL FLUMINENSE |
instname_str |
UNIVERSIDADE FEDERAL FLUMINENSE |
dc.publisher.program.fl_str_mv |
COMPUTAÇÃO |
dc.description.course.none.fl_txt_mv |
COMPUTAÇÃO |
reponame_str |
Portal de Dados Abertos da CAPES |
collection |
Portal de Dados Abertos da CAPES |
spelling |
CAPESPortal de Dados Abertos da CAPESApplying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological SignalsApplying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological SignalsApplying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological SignalsApplying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological SignalsApplying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological SignalsApplying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological SignalsApplying Data Mining to Predict Posttraumatic Stress Symptoms Using Physiological SignalsFrequência Cardíaca e Condutância da Pele2020masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9290214authorAlexandre Plastino de Carvalhohttp://lattes.cnpq.br/4985266524417261https://orcid.org/0000000340390915UNIVERSIDADE FEDERAL FLUMINENSEUNIVERSIDADE FEDERAL FLUMINENSEUNIVERSIDADE FEDERAL FLUMINENSECOMPUTAÇÃOCOMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES |
_version_ |
1741883838197399552 |