Sentence examples for predicting stage from inspiring English sources

The purpose of this study was to determine whether certain Braden subscales or subscores were more important than others or the summative score in predicting stage I to IV pressure ulcers among older adults receiving home health care.

The models predicting stage III and IV endometriosis (±ultrasound evidence) showed much better performance.

Knowledge of type of DNA adducts, their persistence and/or removal and dominant lethal studies, will be helpful in predicting stage sensitivity.

A high cut-off FIB4 index of 2.67 which has been proposed by Shah and colleagues [ 24] had a low PPV (43%) in predicting stage 3 or 4 fibrosis.

Our results contrast with those reported by Shah and colleagues [ 24], where a high cut-off FIB4 index of 2.67 had an 80% PPV in predicting stage 3 or 4 fibrosis; however the prevalence of advanced fibrosis in our study was only 11%, compared to 23% in Shah et al.'s study.

To emphasise the diagnosis of early stage of patients with pancreatic malignancy, we found that the sensitivity of serum p-ERK1/2 levels for predicting stage I PaCa in our study population was 82% (14 out of 17 patients with stage IA or IB cancers had elevated p-ERK1/2), whereas only 9 out of 17 (53%) patients showed elevated CA19-9.

The patient's clinical data was also applied to the 2007 Partin table for ECE [ 7] in order to evaluate how well this prediction tool can predict stage at RP compared to the three classification models developed in this study.

Disease stage was defined by the reduction in FEV1 relative to per cent-of-predicted values as follows: stage I (FEV1/FVC <0.7 and FEV1 ≥80% of predicted); stage II (FEV1/FVC <0.7 and FEV1 50 79% of predicted) and stage III+ (FEV1/FVC <0.7 and FEV1 <50% of predicted).

Single-exon genes are also re-predicted stage 2. The final filtering step gives the final output CodingQuarry prediction.

The system uses a physics-based distributed (PBD) hydrologic model, Vflo, together with radar rainfall input to predict stage and discharge at 222 locations in real-time.

This research serves as the foundation for the future design of mosquito-specific expression cassettes with predicted stage- and tissue specificity at the desired levels of transgene expression.