Sentence examples for Time of data capture from inspiring English sources

In other words, the key issue is how to technically estimate the quality of sensing data without pre-existing knowledge of the specific sensing behaviour of each participating user and the corresponding ground truth information at the time of data capture to independently verify the correctness of the data [9].

Full verification checks will be undertaken at the time of data capture.

At the time of data capture, approximately 81% of African Americans and 88% of Caucasian patients were deceased (P < 0.01).

And a cohort study would also have limitations because QOL may change between the time of data capture and fracture, and thus may no longer be valid for the time of fracture.

At the time of data capture, 13 of the 77 patients had not reached 3 YO and a further 11 either did not have measurements recorded or were lost to follow-up.

For our study, a prospective study design would also have limitations because HRQOL may change between the time of data capture and fracture and thus may no longer be valid for the time of fracture.

Combining both types of data within a simple and efficient algorithm requiring short time periods of data capture can significantly improve the wear time and non-wear time classification, and generate high accuracy in adults and children of both genders, although more work is need to modify the method of integrating acceleration and skin temperature information.

Due to the time-period of data capture for exposures, not all were relevant to all LBP prevalence measures.

These indicators are understandable and relevant from a clinical viewpoint, as well as being acceptable and feasible in terms of time required, ease of data capture, and interpretability.

Through centralization of data capture, and real-time study monitoring and data analysis the system removes these responsibilities from those at individual test sites, permitting investigators to concentrate instead on other aspects of the study and its progress.

It involves traditional methods of data capture and statistical modeling.