Sentence examples for readily obtainable data from inspiring English sources

The advantages of such an approach are obvious: using readily obtainable data and mathematical modeling to assess important but otherwise difficult to determine physiological parameters.

To answer this question, we explored whether readily obtainable data on patients' characteristics could predict the trajectories of change in CD4 absolute count, CD4 percentage, and HIV viral load.

The main objectives of the current study were: (1) to determine the real world effectiveness of first line ART and pediatric care utilization; and (2) to explore associations between readily obtainable data and the trajectories of change in CD4 count and HIV viral load.

Data from European EMS providers can support public health decision-making since these data provide timely and readily obtainable information on mostly severe cases.

We determined the effectiveness of first-line ART in a real world pediatric HIV clinic and explored associations between readily obtainable patient data and the trajectories of change in CD4 count and HIV viral load.

To develop and validate a clinical score to predict visual acuity (VA) and functional changes after phacoemulsification on the basis of readily obtainable preoperative history data and patient assessment.

The influence of SNPs on drug response is often relatively small, and the incremental value of the genomic information on top of readily obtainable clinical information is unclear.

The outcome measures considered were those that were readily obtainable from routinely collected data, namely mortality and hospital admission.

Notwithstanding the above, we set out to address whether MSUS parameters added to more readily obtainable clinical and laboratory data in the generation of predictive models in the EAC.

The model represents the shoreline response to cross-shore processes only and is extremely efficient, requiring only readily obtainable wave and water-level data as input.

The first algorithm adopts a semi-supervised approach to sentiment classification, combining knowledge of the sentiment polarity for a few documents and a small lexicon of words with information present in a corpus of unlabeled documents; note that such unlabeled data are readily obtainable in online applications.