Analyzing uncertainty in cardiotocogram data for the prediction of fetal risks based on machine learning techniques using rough set
The key focus of this venture is to evaluate the calibration of classifiers built on rules, trees,
and functions by exploring the uncertain information that exists in the Cardiotocography …
and functions by exploring the uncertain information that exists in the Cardiotocography …
[PDF][PDF] Analyzing uncertainty in cardiotocogram data for the prediction of fetal risks based on machine learning techniques using rough set
E Kannan, S Ravikumar, A Anitha, SAP Kumar… - researchgate.net
The key focus of this venture is to evaluate the calibration of classifiers built on rules, trees,
and functions by exploring the uncertain information that exists in the Cardiotocography …
and functions by exploring the uncertain information that exists in the Cardiotocography …