Sentence examples for predictor and found from inspiring English sources

Driving this point home, Whitman said he took the Billboard Top 10 artists and ran them through his predictor, and found that the list skewed strongly Democratic.

Many former community-based studies included dementia itself as baseline predictor, and found that dementia is a strong and consistent predictor and a frequent reason for nursing home admission [ 5].

Finally, we examined all possible subsets of predictors and found that combining classifiers improves their performance in general.

Also along these lines, Alvarez and colleagues [ 77] built a predictor for BRCA1 and found nearly half of the ' BRCA1-like' CGH profiles in their 'BRCAX' breast cancer type to be hypermethylated on the BRCA1 promoter, suggesting that loss of BRCA1 could have been an initiating event in these tumours.

Swan and colleagues [ 14] studied withdrawal symptoms as predictors of relapse and found that anger, depressed mood and craving are strong predictors of relapse within one month of abstinence.

Even that, however, is not necessarily new: a 2015 study looked at nine such automated predictors of recidivism and found that eight of them were inaccurate.

A study by Malmivaara et al. examined predictors of injury and found those with diabetes had a higher risk of sustaining a fall-related injury than those without diabetes (Malmivaara et al. 1993).

In an early study, Sisson and co-workers examined predictors of toxicity and found the best correlation to be between whole-body absorbed dose and platelet ratio; however, comparable and statistically significant correlations were found with GBq/kg body weight and GBq/m body surface [ 37].

Summaries of the number of studies that investigated each specific predictor and that found that the predictor was associated with higher and lower discontinuation were presented on the right side of the tables.

Nagappan et al. used a long list of module, function, and class structural features to build a predictor of five Microsoft systems, and found that predictors built for individual projects only work well for similar projects[35].

Initially, we tested five algorithms – nearest centroid, diagonal linear discriminant analysis (DLDA), compound covariate predictor, one-nearest and three-nearest neighbor predictor [ 28] and found that in our datasets nearest centroid and DLDA methods performed better than the others (data not shown) with similar performance to each other.