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1Combined with risk scoring, SMB appears to identify patients at lower risk.
2Evidence for risk factors to identify patients with kidney disease is limited.
3Biomarkers might be able to identify patients at highest risk of progression.
4This gene signature may identify patients that could benefit from IFN-based therapies.
5Conclusions: Several patient and clinical factors identify patients at higher risk of readmission.
6Conclusion: We developed a clinical score to identify patients with possible autoinflammatory IFNopathies.
7Serial platelet monitoring may help identify patients at higher risk of postoperative complications.
8Risk factors are used to identify patients with pre-existent kidney disease.
9The rule may identify patients at high risk of invasive candidiasis.
10Aim: To explore patient preferences and to identify patients' beliefs about LBP treatments.
11We sought to identify patients at high risk of missing visits.
12Immune-monitoring protocols are needed to identify patients who may benefit from immunomodulatory trials.
13The miR-210 levels identify patients with acute rejection and predict long-term kidney function.
14It can be used to identify patients with diastolic dysfunction and predict PCWP.
15We investigated the ability of emergency physicians to accurately identify patients with stroke.
16These variables were used to identify patients with good, intermediate, and poor prognoses.
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Identify patients a través del temps
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