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Deep Learning in mHealth for Cardiovascular Disease, Diabetes, and Cancer: Systematic Review.
Triantafyllidis, Andreas; Kondylakis, Haridimos; Katehakis, Dimitrios; Kouroubali, Angelina; Koumakis, Lefteris; Marias, Kostas; Alexiadis, Anastasios; Votis, Konstantinos; Tzovaras, Dimitrios.
Afiliação
  • Triantafyllidis A; Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.
  • Kondylakis H; Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece.
  • Katehakis D; Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece.
  • Kouroubali A; Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece.
  • Koumakis L; Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece.
  • Marias K; Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece.
  • Alexiadis A; Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.
  • Votis K; Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.
  • Tzovaras D; Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.
JMIR Mhealth Uhealth ; 10(4): e32344, 2022 04 04.
Article em En | MEDLINE | ID: mdl-35377325
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Telemedicina / Diabetes Mellitus / Aprendizado Profundo / Neoplasias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Telemedicina / Diabetes Mellitus / Aprendizado Profundo / Neoplasias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article