The phrase "accuracy of outcomes" is correct and usable in written English.
It can be used when discussing the precision or correctness of results in various contexts, such as research, assessments, or evaluations.
Example: "The accuracy of outcomes in this study is crucial for validating our hypothesis."
Alternatives: "precision of results" or "correctness of findings."
There are four example cases included to validate the accuracy of outcomes from the proposed model.
Evidence from forecasting research gives reason to believe that understanding time series complexity can enable design of adaptive forecasting decision support systems (FDSSs) to positively support forecasting behaviors and accuracy of outcomes.
Baker SB et al. evaluated the accuracy of outcomes in computer-assisted simulation surgery in orthognathic surgery and showed that the CASS system proved to be an effective mechanism to treatment plan cases and prepare surgical splints for patients undergoing othognathic surgery [24].
Regarding the accuracy of outcomes recorded in New York State birth certificates, the dates of last menses reported in the birth certificate exactly agreed with those recorded in medical records for 87% (Roohan et al. 2003).
Therefore the use of the measures alongside each other may increase the accuracy of outcomes assessment in Type 2 diabetes by enabling the measurement of generic health concerns alongside diabetes specific indicators.
38 We will assess the risk of bias of observational studies with a modified version of the Newcastle-Ottawa instrument that includes confidence in assessment of exposure and outcome, adjusted analysis for differences between groups in prognostic characteristics, accuracy of outcomes assessment, and missing data.
Accuracy of outcome prediction via BT was analyzed using the receiver operating characteristic (ROC) defined by the area under the curve (AUC) (Figure 1C).
Second, evidence suggests that combining an objective prognostic model with physicians' intuition may improve the accuracy of outcome prediction [13].
In both scenarios, we once again found that the expert choice rule outperformed the aggregated rule in terms of accuracy of outcome (Model 2: see Methods and Analyses for full details).
By extending an existing unsupervised knowledge-driven framework to the supervised classification domain, we were able to investigate the effects of including knowledge from previous gene expression studies (through compendia) as well as known cellular processes (through gene sets) on the accuracy of outcome prediction in breast cancer.
Accuracy of outcome data taken from NICE website and SMC annual reports is unclear.
