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To develop a risk score for identifying hospitalized patients with candidemia, we performed a retrospective analysis of a large database of 176 acute-care hospitals in the United States.
We proposed a uniform-score gene-set analysis (USGSA) with implemented package to unify different gene measures by a uniform score for identifying pathways from GWAS data, and use a pre-generated permutation distribution table to quickly obtain multiple-testing adjusted p-value.
We examined whether, and how, simplifications affected the performance of a validated score for identifying adults with chest pain in an emergency department who have low risk of major adverse cardiac events.
The objective was to develop and validate a simplified score for identifying patients with DI in the ICU and to report related complications.
To address this concern, we sought to develop a simple clinical score for identifying ICU patients presenting to the hospital with pneumonia unlikely to be caused by MRSA.
A simple risk score for identifying MRSA in patients presenting to the hospital with pneumonia identifies those at low risk for MRSA and may facilitate efforts to better direct antibiotic prescribing.
To develop a clinical risk score for identifying patients with BSI likely to be caused by Candida spp. upon hospital presentation, we performed a retrospective analysis of patients discharged from 176 acute-care hospitals in the United States from 2000 to 2005.
See related research by Shorr et al., http://ccforum.com/content/13/5/R156 In a previous edition of Critical Care, Shorr and colleagues developed a simple weight risk score for identifying patients with candidemia upon hospital admission [ 1].
In our analysis we use a different organism, system (development) and method (TS score) for identifying our gene sets.
IPA computes a score for each identified network.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com