Abstract: Class imbalance is a problem faced in machine learning and data science, which means classes are unevenly distributed across datasets. Machine learning algorithms assume that the datasets ...

Abstract: Industries use information for decision making to help process changers and business expansions. They use historical data to produce the required information. Preparation of information ...

Of the quasi-experimental studies, Chew’s TWED checklist tested diagnostic accuracy using five case scenarios and reported higher scores (18.5 vs 12.5 out of 50, p=0.001) with use of the checklist. 44 ...