Today's article comes from the International Journal of Emerging Research in Engineering, Science, and Management. The authors are Toyin et al., from Afe Babalola University, in Nigeria. In this paper they're building a hypertension prediction system. The goal is to be able to feed demographic, clinical, and lifestyle data in, and get a binary hypertension risk assessment (at-risk vs not-at-risk) out.
You must be an active Journal Club member to access this content. If you're already a member, click the blue button to login. If you're not a member yet, click the sign-up button to get started.
Login to My Account
Sign Up