To reduce subjectivity and improve efficiency of the evaluation process, this paper proposes a quantitative evaluation approach through data-driven performance predictions.
The significant advantage of the proposed approach is that the several intuitions that are expressed informally during qualitative usability testing and heuristic evaluation can be evaluated appropriately through data-mining knowledge discovery techniques.
The coefficients of the deterministic model are calculated through statistical evaluation of data obtained from various cases around the world.
Through the evaluation of data demand and use interventions and the communication of data demand and use successes, the knowledge base is built for substantiating investments in interventions to strengthen data demand and use.
Through its rigorous evaluation of data and thorough assessment of feedback from a wide range of Princetonians, the committee made some notable findings.
After achieving confidence in the system dynamics model, i.e., through evaluation with historical data, the analysis is mostly done via experimentation, exhaustive what-if-scenarios, and automatic optimization via external software [45 47].
The evaluation is performed either through data splitting or by comparing the model predictions against a completely different dataset [5].
This is only possible through data evaluation from national and international cancer and sarcoma registries and prospective and retrospective multicenter studies to examine the prevalence and progression after different treatment regimens, allowing a central evaluation of the treatment outcomes in uterine sarcomas.
Through the collection and evaluation of data of surface settlement from underground construction in various locations, Peck (1976) first defined the possible zone of influence around an excavation.
The challenge for the US FDA and other national regulatory authorities is to ensure safe and effective vaccines in a timely fashion through the evaluation of clinical data to support licensure [ 23].
Therefore, evaluation of these data through compartmental analyses or other modelling approaches, such as that described by Friberg et al. [ 40] and Isbister et al. [ 41], may provide a more complete understanding of charcoal's effect on apixaban bioavailability versus clearance.
