Two datasets including 210 and 213 soil samples with known sample dimensions were extracted from the UNSODA database to develop and evaluate pedotransfer functions for the SWRC and SHC, respectively.
We used the Patient Safety in Surgery Study database to develop and test a model to predict patient risk for CAEs after general and vascular surgical operations.
From 1999 to 2003, an international working group used data both from the Danish and the aforementioned Israeli bacteremia database to develop a medical decision support system for antibiotic treatment.
In conclusion, we used a large clinical database to develop and validate a risk score that seems to accurately stratify LEA risk among patients hospitalized for a diabetic foot infection.
Mining the company's rich database to develop compelling customer incentives.
We have previously used combined patient-level VHA and Medicare databases to develop risk prediction models for total (15) and minor and major amputations (11) and evaluated rates of initial versus repeat amputations (16).
We used an integrated bioinformatics approach, mining available data in multiple databases, to develop and refine a model of gene-by-environment interaction consistent with this comorbidity.
Another alternative is to take advantage of the large amount of sequence data available in public databases to develop SNP and InDel markers using bioinformatics [ 10].
The history, assumptions and databases used to develop the TTC were recently reviewed and evaluated by the EFSA Scientific Committee (2012) for consideration of potential application of the TTC to the safety assessment of other categories substances of present in foods and feed.
MySQL 5.0.67 and PHP 5.2.9 were used to maintain database and to develop web-based user interfaces that present complex information intuitively.
Our future plan is to include more unusual PTMs in our database and to develop specific analysis tools for them.
