Sentence examples for data processing decisions from inspiring English sources

"Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study". BMC Public Health 14 (14: 1414.

It has also proposed setting up a quango for "data ethics and innovation" whose appointed advisors would be reporting to ministers making data processing decisions.

It is not possible to evaluate which estimate is more accurate, however this example highlights the importance of data processing, how it can lead to large differences in the estimates, and the need for transparency about data processing decisions.

Continual increases of multifaceted IoT devices in healthcare is beset by challenges, such as powering IoT terminal nodes used for health monitoring, data processing, smart decisions, and event management.

The rationale of proposed architecture is twofold: (1) comprehensive conceptual framework for energy harvesting for health monitoring sensors, and (2) data processing and decision management for healthcare.

The rationale of the proposed architecture is two-fold: (1) comprehensive conceptual framework for energy harvesting for health monitoring sensors; and (2) data processing and decision management for healthcare.

The primary technologies involved are mechanization of symbol generation (observation by machines such as radar and sonar), mechanization of symbol transmission (communication by telephone, radio, and television), and mechanization of logical manipulation of symbols (data processing and decision making by computer).

We suggest that the stages of indicator selection, data sourcing, data processing, and other decisions should be made consciously and transparently, or should be scrutinized if transparency is not apparent.

By defining the actions (states and transition functions) of these natural automata, the similarity between the computational data processing and plant decision-making processes became obvious.

Above sections have indicated that the similarity between the computational digital data processing and plant decision-making processes by defining the actions (states and transition functions) of the natural automata in plant systems.

Instead of starting as extensions of existing data processing systems, many decision support systems are built from scratch for the sole purpose of improving or expediting a decision making process.