Mother: a maternal online technology for health care dataset.

Journal: BMC research notes
PMID: 40200259

Abstract

OBJECTIVES: These data enable the development of both textual and speech based conversational machine learning models that can be used by expectant mothers to provide answers to challenges they face during the different trimesters of their pregnancy. Such models are key to the improvement of the lives of pregnant mothers, specifically in low resourced settings where doctors advise is limited by access to hospitals and language barrier. These data were used to develop a conversational chatbot model tailored for mothers in their first, second and third trimesters of pregnancy.

Authors

  • Odongo Steven Eyobu
    Geospatial Data and Computational Intelligence lab, College of Computing and Information Science, Makerere University, P.O Box, 7062, Kampala, Uganda. odongo.eyobu@mak.ac.ug.
  • Brian Angoda Nyanga
    Geospatial Data and Computational Intelligence lab, College of Computing and Information Science, Makerere University, P.O Box, 7062, Kampala, Uganda.
  • Lukman Bukenya
    Geospatial Data and Computational Intelligence lab, College of Computing and Information Science, Makerere University, P.O Box, 7062, Kampala, Uganda.
  • Daniel Ongom
    Geospatial Data and Computational Intelligence lab, College of Computing and Information Science, Makerere University, P.O Box, 7062, Kampala, Uganda.
  • Tonny J Oyana
    Geospatial Data and Computational Intelligence lab, College of Computing and Information Science, Makerere University, P.O Box, 7062, Kampala, Uganda.

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