How to derive and validate clinical prediction models for use in intensive care medicine.
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PICADAR: a diagnostic predictive tool for primary ciliary dyskinesia.-Omic and Electronic Health Record Big Data Analytics for Precision Medicine.A risk-scoring model for the prediction of endometrial cancer among symptomatic postmenopausal women with endometrial thickness > 4 mm.Clinical prediction rule for delayed hemothorax after minor thoracic injury: a multicentre derivation and validation study.Mortality prediction models in acute respiratory failure treated with extracorporeal membrane oxygenation: it must be firstly designed for clinicians and beside use.Predicting early mortality in adult trauma patients admitted to three public university hospitals in urban India: a prospective multicentre cohort study.Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI studyPrognostic factors for clinical failure of exacerbations in elderly outpatients with moderate-to-severe COPD.A clinical prediction model to identify patients at high risk of death in the emergency department.Mortality Prediction in Patients Undergoing Non-Invasive Ventilation in Intermediate Care.Predicting who fails to meet the physical activity guideline in pregnancy: a prospective study of objectively recorded physical activity in a population-based multi-ethnic cohortPrediction Models and Their External Validation Studies for Mortality of Patients with Acute Kidney Injury: A Systematic ReviewDiagnostic accuracy and clinical relevance of an inflammatory biomarker panel for sepsis in adult critically ill patients.Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges.Simplified Mortality Score for the Intensive Care Unit (SMS-ICU): protocol for the development and validation of a bedside clinical prediction rule.Development and validation of the pediatric risk estimate score for children using extracorporeal respiratory support (Ped-RESCUERS).The modified south African triage scale system for mortality prediction in resource-constrained emergency surgical centers: a retrospective cohort study.What's new with survival prediction models in acute respiratory failure patients requiring extracorporeal membrane oxygenation.Risk Model for Prostate Cancer Using Environmental and Genetic Factors in the Spanish Multi-Case-Control (MCC) Study.Clinical Risk Factors and Prognostic Model for Primary Graft Dysfunction after Lung Transplantation in Patients with Pulmonary Hypertension.Comparison of mortality prediction models in acute respiratory distress syndrome undergoing extracorporeal membrane oxygenation and development of a novel prediction score: the PREdiction of Survival on ECMO Therapy-Score (PRESET-Score).Development and internal validation of the Simplified Mortality Score for the Intensive Care Unit (SMS-ICU).External validation of prediction models for time to death in potential donors after circulatory death.Trustworthy or flawed clinical prediction rule?Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale.Year in review in Intensive Care Medicine 2014: II. ARDS, airway management, ventilation, adjuvants in sepsis, hepatic failure, symptoms assessment and management, palliative care and support for families, prognostication, organ donation, outcome, o
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How to derive and validate clinical prediction models for use in intensive care medicine.
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article científic
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article scientifique
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articol științific
@ro
articolo scientifico
@it
artigo científico
@gl
artigo científico
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artigo científico
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artikel ilmiah
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artikull shkencor
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artículo científico
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name
How to derive and validate clinical prediction models for use in intensive care medicine.
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type
label
How to derive and validate clinical prediction models for use in intensive care medicine.
@en
prefLabel
How to derive and validate clinical prediction models for use in intensive care medicine.
@en
P2860
P1476
How to derive and validate clinical prediction models for use in intensive care medicine
@en
P2093
Bertrand Renaud
Michael J Fine
P2860
P2888
P304
P356
10.1007/S00134-014-3227-6
P577
2014-02-26T00:00:00Z