Sentence examples for datasets safe from inspiring English sources

Based on this model and the MUV datasets, SAFE (Scale for Assessing Figures of Effectiveness) an open, standardized, platform for the benchmarking of virtual screening methods was developed.

On the basis of available fatigue design knowledge, the structural fatigue characteristics of hydraulic actuator was depicted based on a nominal force concept from the paucity of experimental dataset, and safe fatigue life of hydraulic actuator subjected to actual random spectrum load history was modelled based on a reliability concept.

From this dataset, we estimated safe winter chill for each point in time, with future predictions based on three IPCC greenhouse gas emissions scenarios (B1, A1B and A2), and averaged over three global climate models (CSIRO-MK3, HadCM3 and MIROC).

Thus, the second dataset also meets the Safe Harbor definition but has a markedly higher percentage of the population at risk of re-identification.

A Safe Harbor compliant dataset consisting only of the quasi-identifiers gender, year of birth, and year of admission has less than 0.03% of the records with a high probability of re-identification.

In the US, the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule provides three standards for the disclosure of health information without seeking patient authorization: the Safe Harbor standard (henceforth Safe Harbor), the Limited Dataset, and the statistical standard.

Nevertheless, Fig. 3 shows that 6,000 is a roughly safe choice for most landslide datasets.

The open source plug-in architecture should encourage researchers from other areas (e.g., data mining or machine learning) to integrate their methods in a safe testing environment with relevant datasets.

In addition, queries of publicly available websites generate de-identified datasets for the research community [the so-called "safe harbor" approach to HIPPA (the Health Insurance Portability and Accountability Act -compliance] [ 17].

For example, health research organizations and commercial organizations in Canada choose to use the Safe Harbor criteria to de-identify datasets [ 31, 32], Canadian sites conducting research funded by US agencies need to comply with HIPAA [ 33], and international guidelines for the public disclosure of clinical trials data have relied on Safe Harbor definitions [ 34].

Despite the fact that a larger dataset would generate more confident results, it is safe to conclude to that predicting the age and income of a shower-taker based solely on her showers is a non-trivial task.