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Manifestation and sociodemographic microdata of Brazil's Unified Health System Ombudsman.

Raphael de Freitas SaldanhaVinicius KreischerRaquel GritzMatheus MiloskiCarmen Lúcia Corrêa BonifácioCarlos Leonardo Souza CardosoAriane Camilo Pinheiro AlvesDomício Aurélio de SáGaribaldi Dantas Gurgel JuniorRafael da Silveira MoreiraMichelle Vieira FernandezJefferson da Costa LimaMarcel Pedroso
Published in: BMC research notes (2024)
The first dataset depicts the characteristics of the manifestations registered by the General Ombudsman. Each row represents an individual manifestation and contains information such as the registration date, classification, input channel, and subject, among others. The second dataset is constituted of sociodemographic information for each citizen that performed a manifestation, and characteristics such as sexual orientation, race, age, and geographic location of the citizen are presented, among others.
Keyphrases
  • health information
  • machine learning
  • deep learning
  • mental health
  • healthcare