scholarly journals Adaptive Study Design Indicator

2020 ◽  
Author(s):  
1988 ◽  
Vol 44 (2) ◽  
pp. 232-238 ◽  
Author(s):  
George L Drusano ◽  
Alan Forrest ◽  
Merrill J Snyder ◽  
Michael D Reed ◽  
Jeffrey L Blumer

Author(s):  
Ping Chen ◽  
Wei Ding ◽  
Walter Garcia

Association mining aims to find valid correlations among data attributes, and has been widely applied to many areas of data analysis. This paper presents a semantic network-based association analysis model including three spreading activation methods. It applies this model to assess the quality of a dataset, and generate semantically valid new hypotheses for adaptive study design especially useful in medical studies. The approach is evaluated on a real public health dataset, the Heartfelt study, and the experiment shows promising results.


Author(s):  
Ping Chen ◽  
Wei Ding ◽  
Walter Garcia

Association mining aims to find valid correlations among data attributes, and has been widely applied to many areas of data analysis. This paper presents a semantic network-based association analysis model including three spreading activation methods. It applies this model to assess the quality of a dataset, and generate semantically valid new hypotheses for adaptive study design especially useful in medical studies. The approach is evaluated on a real public health dataset, the Heartfelt study, and the experiment shows promising results.


Sign in / Sign up

Export Citation Format

Share Document