Sentence examples for diseases were identified using from inspiring English sources

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In HSE, participants were asked to name any long-standing illness: respiratory diseases were identified using International Classification of Diseases, Tenth Revision codes J00-J99.

The diseases were identified using the UMLS concepts that define each disorder, whereas an in-house developed gene dictionary was used to identify the genes, as described in Bravo et al.

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Diabetes, hypertension, stroke and heart disease were identified using the question "Has a doctor ever told you that you have [name of condition]?" Participants who did not answer the question were excluded from analyses (n=1242).

To adjust for differences in cardiovascular risk between SGA users and diabetic control subjects, individuals with preexisting dyslipidemia, hypertension, and heart disease were identified using medical and pharmacy claims for 365 days before the index date.

In the Tucson Epidemiologic Study of Obstructive Airways Disease (Camilli et al. 1991), 25% of deaths with clinically documented moderate to severe obstructive lung disease were identified using underlying cause of death only, whereas 81% had COPD noted as either underlying or contributing cause on the death certificate.

Prevalent chronic kidney disease was identified using hospital records between 1980 and 1998.

Two subsets of OA that are not dependent on disease duration were identified using unsupervised analysis of the data.

A neutralizing epitope, as well as other potential antigenic sites of a SAT2 foot-and-mouth disease virus (FMDV) were identified using phage-displayed scFvs.

Men with complicated hypertension were 26.2 times more likely to have three or more chronic health problems than non-hypertensive men (table 6). Figure 1 shows the six disease clusters that were identified using cluster analysis.

Homologous protein sequences in other organisms to the human proteins encoded by disease-causing genes were identified using the BLAST program against the RefSeq database (6 691 817 amino acid sequences) with a cut-off E-value of 10−4.

Hospitalizations including a diagnosis of Crohn's disease or ulcerative colitis were identified using International Classification of Diseases, 9th edition (ICD9) codes.

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