Sentence examples similar to computing disease from inspiring English sources

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When computing disease-related survival and disease-free survival, deaths from other causes were considered as censored observations.

Nevertheless, we think that the proposed risk stratification may still be useful in settings where only pulse oximetry is available for monitoring and where laboratory examinations to compute disease severity scores are lacking.

Case/control designation was assigned by comparison of the combined computed disease risk to a random number generated from the standard uniform distribution.

We have computed disease prevalence in the population at equilibrium as a function of culling rate or hunting mortality for different values of age-dependent heterogeneity in transmission, called Δβ = βa−βj (where, βa is the transmission rate between adults and βj is the transmission rate between juveniles).

The RIF enables access of additional dimensions of data, identifies potentially exposed populations, and computes disease rates and relative risk statistics for that potentially exposed population.

For instance, Chiang and Butte computed disease-disease similarity network to identify drug repositioning candidates [ 16], while some other approaches used either drug-drug similarities [ 13, 17] or both disease-disease and drug-drug similarities [ 18- 20].

The capability to generate designer DNA architectures with precise spatial control has allowed scientists and engineers to explore novel applications in various fields, including structural biology, DNA computing, nanorobotics, disease diagnosis, and drug delivery.

An expert on using computing for disease research and microbiology, Pande joins from Stanford University, where he was the chair of its chemistry department.

When computing the disease severity scores, we first evaluated the association between individual variables included in the scores and mortality (Table  1).

An alternative to computing overall disease probabilities by combining both genotypic and clinical LRs is to report both evaluations in a simple graphical manner.

Fitting of these models often computes expected disease counts via internal standardization.

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