A data-driven feature extraction framework for predicting the severity of condition of congestive heart failure patients - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Costas Sideris, Nabil Alshurafa, Mohammad Pourhomayoun, Farhad Shahmohammadi, Lauren Samy, Majid Sarrafzadeh. A data-driven feature extraction framework for predicting the severity of condition of congestive heart failure patients. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, August 25-29, 2015. pages 2534-2537, IEEE, 2015. [doi]

This author has not been identified. Look up 'Costas Sideris' in GoogleThis author has not been identified. Look up 'Nabil Alshurafa' in GoogleThis author has not been identified. Look up 'Mohammad Pourhomayoun' in GoogleThis author has not been identified. Look up 'Farhad Shahmohammadi' in GoogleThis author has not been identified. Look up 'Lauren Samy' in GoogleThis author has not been identified. Look up 'Majid Sarrafzadeh' in Google

runs on WebDSL