Codes and compiled data of the research "Use of Real-World data and Machine Learning in the surveillance of maternal mortality and severe maternal morbidity". This research project was part of the Grand Challenges Explorations (GCE) program where the call to the set of projects was: "Data Science Approaches to Improve Maternal and Child Health, Women Health and Child Health in Brazil".
- Main objectives: to assess the use of SIH/SUS for the surveillance of severe maternal morbidity and the use of other health information systems for maternal health surveillance.
- Specific objectives related to this repository: to create a maternal health surveillance dashboard using indicators from different information systems available in Brazil.
This research was funded by the Bill & Melinda Gates Foundation and the National Council for Scientific and Technological Development (CNPq). The execution of the research was of accountability of the Evandro Chagas Clinical Research Institute (IPEC/FIOCRUZ).
- Surveillance Dashboard build by the OOBr (Brazilian Obstetric Observatory).
- Final Project of the Bachelor Degree in Computer Science at Federal University of Rio de Janeiro (in construction)
- Paper (in construction)
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