prognostic models
Systematic review of prognostic models in traumatic brain injury
... from prognostic mod- ...relevant prognostic models published prior to that ...that prognostic models previous to 1990 could be useful for the current medical care of TBI ...
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Reporting performance of prognostic models in cancer: a review
... statistical models are derived from a sequence of data driven steps leading to likely bias both in model development and the performance of a prognostic index or risk groups generated from ...of ...
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Prognostic models for the early care of trauma patients: a systematic review
... 5 prognostic models dis- cussed the rationale to include the predictors and pro- vided clear ...existing models and modified predictors previously ...of prognostic models included in ...
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Performance of prognostic models in critically ill cancer patients – a review
... 'Discrimination' refers to a model's ability to distinguish survi- vors from non-survivors. The AUC represents the probability that a patient who died had a higher predicted probability of dying than a patient who ...
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Reporting methods in studies developing prognostic models in cancer: a review
... new prognostic model as a combination of two or more independent risk factors to predict patient ...developing prognostic models, there are some excellent books and articles pro- viding advice on ...
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Comparison of two prognostic models in trauma outcome
... This is the peer reviewed version of the following article: Cook, A., Osler, T., Glance, L., Lecky, F., Bouamra, O., Weddle, J., Gross, B., Ward, J., Moore, F. O., Rogers, F. and Hosmer, D. (2018), Comparison of two ...
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<p>Statistical Challenges in Development of Prognostic Models in Diffuse Large B-Cell Lymphoma: Comparison Between Existing Models – A Systematic Review</p>
... between prognostic models and the use of a variety of statistical methods for model comparison, it was not possible to make a universal compar- ...compare models by using very simple tools: the ...
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Prognostic models for intracerebral hemorrhage: systematic review and meta-analysis
... Prognostic models for ICH patients have demonstrated good discrimination in derivation studies, regardless of the outcome in question (mortality or functional out- ...for prognostic tool derivations ...
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Prognostic models for complete recovery in ischemic stroke: a systematic review and meta-analysis
... developed prognostic models to predict functional outcomes after ischemic stroke, and each model has different strengths and weak- ...Since models do not always work well in practice, it is ...
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Prognostic models for 9 month mortality in tuberculous meningitis
... Results: A total of 951 HIV-uninfected and 748 HIV-infected subjects with TBM were included, of whom 219/951 (23.0%) and 384/748 (51.3%) died during 9-month follow-up. Common predictors for increased mortality in both ...
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Prognostic models to predict survival in patients with advanced non-small cell lung cancer treated with first-line chemo- or targeted therapy
... the prognostic models described here and adequately assess the potential role of NLR in guiding treatment decisions, patient selection, and clinical trials ...
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Prognostic models for alcoholic hepatitis
... the placebo group [13]. On retrospective analysis, DF is a valid index of severity of disease identifying those at 50 % risk of death within 2 months [14]. DF has an inadequate specificity of <40 %–62 % and a ...
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The search for stable prognostic models in multiple imputed data sets
... whether cases with missing data were omitted from ana- lyses (CCA) or whether the values of the missings were estimated using MI. Since missing values appeared to be related to other observed information, the MCAR condi- ...
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A Review of Prognostic Models on Diagnosis and Therapeutic Strategies of Typhoid Fever
... Ciprofloxacin and Ofloxacin should be used carefully in cases of typhoid fever caused by Salmonella typhi and having 2nd number sensitivity to Ciprofloxacin (65).[r] ...
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Development of a prognostic model for predicting depression severity in adult primary patients with depressive symptoms using the diamond longitudinal study
... existing prognostic models that would be suitable for inclusion in a clinical prediction tool that predicts future depressive symptoms in primary care patients with depressive symptoms, ranging from ...
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The VENUSS prognostic model to predict disease recurrence following surgery for non-metastatic papillary renal cell carcinoma: development and evaluation using the ASSURE prospective clinical trial cohort
... pendent prognostic factors such as grade and coagulative tumour necrosis [10, 11]; however, these prognostic models were often established for clear cell RCC only [12, 13] or all RCC subtypes [14, ...
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Accounting for treatment use when validating a prognostic model: a simulation study
... There are limitations to the guidance that we provide. First, we do not present a complete evaluation of all pos- sible methods across a range of different settings, which would require at least an extensive simulation ...
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Using a high fidelity CCGT simulator for building prognostic systems
... useful prognostic models the time to failure of systems chosen are required to occur over extended periods of ...a prognostic system, by allowing operators time to assess the situation and scheduling ...
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Rough set theory based prognostic classification models for hospice referral
... a prognostic model is to determine rela- tionships between covariates and a health-related out- ...estimation, prognostic models improve the accuracy in critical clinical decisions and are shown to ...
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Variable selection under multiple imputation using the bootstrap in a prognostic study
... The presence of missing data is a frequently encountered problem in the development of prognostic models. The default strategy is to eliminate all incomplete cases from the analysis. As the amount of ...
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