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  • 5

    Schlagworte: Medicine; Biotechnology; Virology; Computational Biology; Environmental Sciences not elsewhere classified; type 2 diabetes; measured using dual; international diabetes federation; general electric healthcare; determine cardiometabolic consequences; cardiometabolic risk factors; 690 – 2049; 585 – 1590; 3 ± 15; 3 %; specificity; 2 %; 1 years participated; sleep apnea syndrome; ≥ 1369 g; ≥ 1082 g; general adult population; predict metabolic syndrome; particularly metabolic syndrome; th

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  • 6

    Schlagworte: Medicine; Biotechnology; Virology; Computational Biology; Environmental Sciences not elsewhere classified; type 2 diabetes; measured using dual; international diabetes federation; general electric healthcare; determine cardiometabolic consequences; cardiometabolic risk factors; 690 – 2049; 585 – 1590; 3 ± 15; 3 %; specificity; 2 %; 1 years participated; sleep apnea syndrome; ≥ 1369 g; ≥ 1082 g; general adult population; predict metabolic syndrome; particularly metabolic syndrome; th

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  • 7

    Schlagworte: Medicine; Biotechnology; Virology; Computational Biology; Environmental Sciences not elsewhere classified; type 2 diabetes; measured using dual; international diabetes federation; general electric healthcare; determine cardiometabolic consequences; cardiometabolic risk factors; 690 – 2049; 585 – 1590; 3 ± 15; 3 %; specificity; 2 %; 1 years participated; sleep apnea syndrome; ≥ 1369 g; ≥ 1082 g; general adult population; predict metabolic syndrome; particularly metabolic syndrome; th

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  • 21
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  • 22

    Schlagworte: Medicine; Biotechnology; Virology; Computational Biology; Environmental Sciences not elsewhere classified; type 2 diabetes; measured using dual; international diabetes federation; general electric healthcare; determine cardiometabolic consequences; cardiometabolic risk factors; 690 – 2049; 585 – 1590; 3 ± 15; 3 %; specificity; 2 %; 1 years participated; sleep apnea syndrome; ≥ 1369 g; ≥ 1082 g; general adult population; predict metabolic syndrome; particularly metabolic syndrome; th

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  • 23

    Schlagworte: Medicine; Biotechnology; Virology; Computational Biology; Environmental Sciences not elsewhere classified; type 2 diabetes; measured using dual; international diabetes federation; general electric healthcare; determine cardiometabolic consequences; cardiometabolic risk factors; 690 – 2049; 585 – 1590; 3 ± 15; 3 %; specificity; 2 %; 1 years participated; sleep apnea syndrome; ≥ 1369 g; ≥ 1082 g; general adult population; predict metabolic syndrome; particularly metabolic syndrome; th

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