Previsão de Sinistros com Machine Learning: Evidências no Setor de Seguros Automotivos no Brasil.

Saved in:
Bibliographic Details
Title: Previsão de Sinistros com Machine Learning: Evidências no Setor de Seguros Automotivos no Brasil.
Alternate Title: Claim Prediction Using Machine Learning: Evidence from the Automotive Insurance Sector in Brazil.
Predicción de Siniestros con Machine Learning: Evidencias en el Sector de Seguros de Automóviles en Brasil.
Authors: Costa Lucas, Edimilson1 edimilson.lucas@mackenzie.br, Di Agustini, Carlos Alberto2 agustini@fgvmail.br, Santos, Hayssa Guilherme3 santoshayssa@gmail.com, da Silva Oliveira, José Carlos3 jose.oliveira@mackenzie.br, Almeida Ribeiro, Victor Hugo3 almeidaribeirovictorhugo@gmail.com, Neto, Luiz Carlos4 luppi_g5@yahoo.com.br
Source: GeSec: Revista de Gestao e Secretariado. 2025, Vol. 16 Issue 6, p1-18. 18p.
Database: Academic Search Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 186707019
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Previsão de Sinistros com Machine Learning: Evidências no Setor de Seguros Automotivos no Brasil.
– Name: TitleAlt
  Label: Alternate Title
  Group: TiAlt
  Data: Claim Prediction Using Machine Learning: Evidence from the Automotive Insurance Sector in Brazil.<br />Predicción de Siniestros con Machine Learning: Evidencias en el Sector de Seguros de Automóviles en Brasil.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Costa+Lucas%2C+Edimilson%22">Costa Lucas, Edimilson</searchLink><relatesTo>1</relatesTo><i> edimilson.lucas@mackenzie.br</i><br /><searchLink fieldCode="AR" term="%22Di+Agustini%2C+Carlos+Alberto%22">Di Agustini, Carlos Alberto</searchLink><relatesTo>2</relatesTo><i> agustini@fgvmail.br</i><br /><searchLink fieldCode="AR" term="%22Santos%2C+Hayssa+Guilherme%22">Santos, Hayssa Guilherme</searchLink><relatesTo>3</relatesTo><i> santoshayssa@gmail.com</i><br /><searchLink fieldCode="AR" term="%22da+Silva+Oliveira%2C+José+Carlos%22">da Silva Oliveira, José Carlos</searchLink><relatesTo>3</relatesTo><i> jose.oliveira@mackenzie.br</i><br /><searchLink fieldCode="AR" term="%22Almeida+Ribeiro%2C+Victor+Hugo%22">Almeida Ribeiro, Victor Hugo</searchLink><relatesTo>3</relatesTo><i> almeidaribeirovictorhugo@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Neto%2C+Luiz+Carlos%22">Neto, Luiz Carlos</searchLink><relatesTo>4</relatesTo><i> luppi_g5@yahoo.com.br</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22GeSec%3A+Revista+de+Gestao+e+Secretariado%22">GeSec: Revista de Gestao e Secretariado</searchLink>. 2025, Vol. 16 Issue 6, p1-18. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186707019
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.7769/gesec.v16i6.4970
    Languages:
      – Code: por
        Text: Portuguese
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1
    Titles:
      – TitleFull: Previsão de Sinistros com Machine Learning: Evidências no Setor de Seguros Automotivos no Brasil.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Costa Lucas, Edimilson
      – PersonEntity:
          Name:
            NameFull: Di Agustini, Carlos Alberto
      – PersonEntity:
          Name:
            NameFull: Santos, Hayssa Guilherme
      – PersonEntity:
          Name:
            NameFull: da Silva Oliveira, José Carlos
      – PersonEntity:
          Name:
            NameFull: Almeida Ribeiro, Victor Hugo
      – PersonEntity:
          Name:
            NameFull: Neto, Luiz Carlos
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: 2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 21789010
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: GeSec: Revista de Gestao e Secretariado
              Type: main
ResultId 1