The study aims to investigate whether machine learning-based predictive models for cardiovascular disease (CVD) risk assessment show equivalent performance across demographic groups (such as race and gender) and if bias mitigation methods can reduce any bias present in the models. This is important as systematic bias may be introduced when collecting and preprocessing health data, which could affect the performance of the models on certain demographic sub-cohorts.
Study built over two decades of research on intimate parther violence and HIV. Sub-Saharan Africa has among the highest prevalence of intimate parthner violence (IPV) and HIV worldwide. The results of this very pooled analysis show that pwomen who had experienced physical or sexual IPV in the past year were 3·22 times as likely to acquire a recent HIV infection and women living with HIV who experienced physical or sexual IPV in the past year were 9% less likely to be virally suppressed
This chapter advances Goals 5 and 10 by addressing ways we can support the needs of female hand surgeons.
This content advances goals 4, 5 and 10 by highlighting diversity, equity and inclusion for women in the world of hand surgery.
This review article advances goals 3, 5, and 10 by addressing inequity in care among pregnant women with asthma in underserved communities and examining potential interventions that may help improve health outcomes and standard of care.
This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by considering cyber crime emergence, detection, and the populations that may be most affected.
THis supports SGDs 3 and 5 by supporting access to care and contraception.
Good access to care and contraception support SDG 3.
This supports SDGs 3 and 5 by supporting access to care and contraception.
Elsevier,
Intelligent Environments: Advanced Systems for a Healthy Planet, Second Edition, 2023, pp 285-322
This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by discussing the potential of smart technologies to improve safety and gender equity in urban environments.
