Mortality prediction is important in clinical decision-making, benchmarking, policy making, priority setting at a population health level, and sometimes also for individual patients.
As the last large bank to announce its first-quarter profit, Bank of America is also a turning point in the financial industry's earnings season, making it a decision-making benchmark for investors.
Biomarkers can also enable early decision-making and benchmarking.
Risk prediction models (also termed prognostic models, outcome prediction models or mortality prediction models) are used in critical care for summarising and communicating risk, supporting clinical decision-making and benchmarking performance of health care providers [ 1].
Finally, some decision-makers emphasized the importance of (5) decision making tools, or benchmarking, to improve decision making.
To support strategic decision making, universities require research benchmarking data that is sufficiently fine-grained to show variation among specific research areas and identify focused areas of excellence; is objective and verifiable; and provides meaningful comparisons across the diversity of national higher education environments.
Also, they identified a number of opportunities for public involvement in the OWTS, including: identifying priorities, setting benchmarks, decision making within panels, and the selection of targeted services areas.
While properly calibrated class membership probabilities are favourable for decision making, they are not needed for benchmarking.
The expected life-cycle cost can be regarded as a benchmark variable in decision making problems involving insurance policy making for existing structures in seismic risk prone areas.
The models that set the closest targets have made an important contribution to DEA as tool for the best-practice benchmarking of decision making units (DMUs).
