APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS
Data de Publicação: | 2021 |
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Tipo de documento: | Tese |
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=10634155 |
id |
BRCRIS_db2b4870049bda4073265c26bd2a06dc |
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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 MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS |
title |
APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS |
spellingShingle |
APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS unsupervised learning aprendizado não-supervisionado |
title_short |
APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS |
title_full |
APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS |
title_fullStr |
APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS |
title_full_unstemmed |
APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS |
title_sort |
APPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTS |
topic |
unsupervised learning aprendizado não-supervisionado |
publishDate |
2021 |
format |
doctoralThesis |
url |
https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=10634155 |
author_role |
author |
dc.publisher.none.fl_str_mv |
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL |
publisher.none.fl_str_mv |
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL |
instname_str |
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL |
dc.publisher.program.fl_str_mv |
CIÊNCIA DA COMPUTAÇÃO |
dc.description.course.none.fl_txt_mv |
CIÊNCIA DA COMPUTAÇÃO |
reponame_str |
Portal de Dados Abertos da CAPES |
collection |
Portal de Dados Abertos da CAPES |
spelling |
CAPESPortal de Dados Abertos da CAPESAPPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTSAPPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTSAPPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTSAPPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTSAPPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTSAPPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTSAPPLYING MACHINE LEARNING TO ELECTRONIC HEALTH RECORDS: A STUDY ON TWO ADVERSE EVENTSunsupervised learning2021doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=10634155authorPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SULPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SULPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SULCIÊNCIA DA COMPUTAÇÃOCIÊNCIA DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES |
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1741883482492108800 |