Sentence examples for Miss data from inspiring English sources
Based on available MISS data we also consider possible developments of the MISS in order to enhance its usefulness, by specifying the response alternatives and add a fourth item comprising daytime impairments.
In Philadelphia, the nonprofit "TechGirlz" hosts teen workshops like "Driving Miss Data".
Conducting representative research on social media is no easy task, we found we needed to peel back a number of different layers to the problem ranging across: Collection: you sometimes miss data that is out there on social media that you want, and sometimes you get data that you don't.
The other type was a near miss and accident drive-recorder (NADR) to record both accident and near miss data.
Since a large number of all construction fatalities are related to struck-by events – for example, workers-on-foot being too close to construction equipment and to other restricted or geo-referenced hazard areas – a novel framework around real-time location tracking technology was designed and tested to collect and study near miss data.
Chart reviews may miss data that were not recorded and patient interviews rely on patient recall, which can be inaccurate.
Blanks indicate missing data.
NOTES -- Blanks indicate missing data.
The aim of a NMS is to "harvest value" from near-miss data by assessing and prioritizing their risk implications, identifying their failure generating mechanisms, and guiding interventions and safety improvements and awareness.
One important result is that near-miss data can be classified and interpreted in light of safety principles violated, and that safety interventions can be particularly effective when organized around such findings, the objectives being to (re- establish and stre- establishliande with strengthenncomplianceough withforce training, safety redesign, and/or imprinciplesrathroughprocedures.
No comparable system currently exists for the automotive industry… The lack of consistently reported incident or near-miss data increases the number of miles or hours of operation necessary to establish system safety, presenting an obstacle to certain AI approaches that require extensive testing for validation.
