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Spatial extreme learning machines: An application on prediction of disease counts.
Prates, Marcos O.
Affiliation
  • Prates MO; Department of Statistics, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Stat Methods Med Res ; 28(9): 2583-2594, 2019 09.
Article in En | MEDLINE | ID: mdl-29629629
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Bayes Theorem / Machine Learning / Lung Neoplasms Type of study: Health_economic_evaluation / Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Stat Methods Med Res Year: 2019 Document type: Article Affiliation country: Brazil Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Bayes Theorem / Machine Learning / Lung Neoplasms Type of study: Health_economic_evaluation / Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Stat Methods Med Res Year: 2019 Document type: Article Affiliation country: Brazil Country of publication: United kingdom