Furthermore, at the supra-institutional level, our classification could be used for inter-hospital comparisons or even in the context of benchmarking systems to achieve greater transparency as regards the current situation and quality of care in the surgical management of breast cancer.
In the context of benchmarking, there are aspects of care not currently included in the quality indicators that many might think should be, and which at least deserve to be discussed for the future.
Those terms with evidence type 'Inferred from Electronic Annotation (IEA)', 'No biological Data available (ND)' and 'Inferred from Genomic Context (IGC)' were removed to avoid the circularity of benchmarking a method using results derived from similar methods.
Starting from some raw files of this dataset, we also provide here some processed data obtained through various bioinformatics tools (including Max Quant Skyline, MFPaQ, IRMa-hEIDI and Scaffold) in different workflows, to exemplify the use of such data in the context of software benchmarking, as discussed in details in the accompanying manuscript [1].
Rates of minimally invasive surgery should be evaluated in the context of national benchmarks.
We have evaluated MeDiChISeq in the context of this benchmark, demonstrating in all three cases a high percentage of true binding site recovery (> 80%) and low false discovery rate.
In the particular context of our benchmark, references lists have some disadvantages: the set of references is not a ranked list (sometimes the top suggested author was not a cited author, but the second and/or third suggestions were), and they have variable sizes, which confounds case comparison, because in general, any method will perform better on average with papers with many references.
The absence of national, network-based data in the NICU context impairs benchmarking activities and, thus, may limit surveillance systems' contribution to HAIs prevention.
Accordingly, the generic XML-based data set ensured the comparability of results across all participating institutions, thus providing proof of concept for the feasibility of uniform data collection and data analysis in the context of the present benchmarking project.
The efficiency of this parallel PT implementation is demonstrated in the context of minimizing various benchmark functions with complicated landscapes as objective functions.
The topic of this paper is the development of sensitivity and uncertainty analysis capability to the CASMO-4/CASMO-4E – SIMULATE-3 code sequence in the context of the OECD/NEA benchmark 'Uncertainty Analysis in Best-Estimate Modelling for Design, Operation and Safety Analysis of LWRs' (UAM).
