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All authors participated in data evaluation and experimental design.
Better use of research, data, evaluation and citizen views can make a real difference.
C.M., N.F. and E.E.S. substantially contributed to the study design, data evaluation and interpretation.
data evaluation and statistics.
Data evaluation and meta-analysis.
AT participated in data evaluation and supervision.
The purpose of this review is to discuss the nuances of common AML trial endpoints and their data presentation to better inform evaluation and understanding of clinical trial data.
The methodology consists of six phases (Fig. 2), starting with the initial phase of understanding the project (Introduction), followed by data understanding (EEG Acquisition/Processing), data pre-processing, data modeling, evaluation and ending up with the deployment (knowledge discovery) [ 45].
New data and understanding are emerging.
Analyzing your data and understanding your customers is critical.
A standardized data mining process is explained in detail that involves a number of phases including business understanding, data understanding, data preparation, modeling, evaluation, and deployment.
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