MOTHER: A Dataset For Maternal Online Technology for Health Care Dataset

Maternal health data is of great importance to the understanding and improvement of maternal healthcare services. However, the availability and quality of this data remain scarce for most researchers around the world. In many regions, obtaining detailed and reliable maternal health data is very chal...

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1. Verfasser: Steven Odongo Eyobu, Brian Angoda, Bukenya, Lukman, Daniel Ongom, Tonny J. Oyana (Makerere University)
Format: Dataset
Sprache:eng
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Zusammenfassung:Maternal health data is of great importance to the understanding and improvement of maternal healthcare services. However, the availability and quality of this data remain scarce for most researchers around the world. In many regions, obtaining detailed and reliable maternal health data is very challenging due to the lack of comprehensive data collection and inconsistent records. This has created critical gaps in data availability to support and enhance maternal health research and services. To bridge this gap, we created a curated dataset of maternal healthcare questions and answers with the oversight of medical experts. The dataset, titled "MOTHER: Maternal Online Technology for Health Care," provides time-relevant information for maternal health questions. The data was collected in 2023 and includes questions and answers related to various aspects of maternal health. This dataset aims to provide informative responses to common questions that pregnant women or those using family planning health services might have regarding their health. The questions and answers are designed to address various concerns, symptoms, and conditions associated with pregnancy. This work was funded by the Makerere University Research and Innovation Fund, RIF (2024-06-12)
DOI:10.7910/dvn/eacmii