Cargando…
Predicting facility-based delivery in Zanzibar: The vulnerability of machine learning algorithms to adversarial attacks
BACKGROUND: Community health worker (CHW)-led maternal health programs have contributed to increased facility-based deliveries and decreased maternal mortality in sub-Saharan Africa. The recent adoption of mobile devices in these programs provides an opportunity for real-time implementation of machi...
Autores principales: | Tsai, Yi-Ting, Fulcher, Isabel R., Li, Tracey, Sukums, Felix, Hedt-Gauthier, Bethany |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205516/ https://www.ncbi.nlm.nih.gov/pubmed/37234636 http://dx.doi.org/10.1016/j.heliyon.2023.e16244 |
Ejemplares similares
-
Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar
por: Fredriksson, Alma, et al.
Publicado: (2022) -
Errors in estimated gestational ages reduce the likelihood of health facility deliveries: results from an observational cohort study in Zanzibar
por: Fulcher, Isabel, et al.
Publicado: (2020) -
Caregiver parenting practices, dietary diversity knowledge, and association with early childhood development outcomes among children aged 18-29 months in Zanzibar, Tanzania: a cross-sectional survey
por: Russell, Allyson L., et al.
Publicado: (2022) -
Topological vulnerability of power grids to disasters: Bounds, adversarial attacks and reinforcement
por: Deka, Deepjyoti, et al.
Publicado: (2018) -
Adversarial Attacks on Medical Image Classification
por: Tsai, Min-Jen, et al.
Publicado: (2023)