Predicting recovery in patients suffering from traumatic brain injury by using admission variables and physiological data: a comparison between decision tree analysis and logistic regression.
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Brain Multimodality Monitoring: Updated PerspectivesIntraaortic Balloon Pump Counterpulsation and Cerebral Autoregulation: an observational study.Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction.Developing a prognostic model for traumatic brain injury--a missed opportunity?Predicting functional outcomes in patients suffering from ischaemic stroke using initial admission variables and physiological data: a comparison between tree model and multivariate regression analysis.Identification of low-risk patients with traumatic brain injury and intracranial hemorrhage who do not need intensive care unit admission.Age-specific cerebral perfusion pressure thresholds and survival in children and adolescents with severe traumatic brain injury*Surgical decision making for the elderly patients in severe head injuries.A clinical decision rule to predict adult patients with traumatic intracranial haemorrhage who do not require intensive care unit admissionReport of a consensus meeting on human brain temperature after severe traumatic brain injury: its measurement and management during pyrexiaUse and effect of vasopressors after pediatric traumatic brain injuryDerivation of a clinical decision instrument to identify adult patients with mild traumatic intracranial hemorrhage at low risk for requiring ICU admission.Serum Total Cholinesterase Activity on Admission Is Associated with Disease Severity and Outcome in Patients with Traumatic Brain Injury.Which score should be used in intubated patients' Glasgow coma scale or full outline of unresponsiveness?Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network Analysis.Early prediction of language impairment following traumatic brain injury.Impact of non-neurological complications in severe traumatic brain injury outcomeRisk Factors Predicting Unfavorable Neurological Outcome during the Early Period after Traumatic Brain InjuryA comparative analysis of multi-level computer-assisted decision making systems for traumatic injuriesConfusion with cerebral perfusion pressure in a literature review of current guidelines and survey of clinical practice.A systematic review of factors contributing to outcomes in patients with traumatic brain injury.Current concepts of optimal cerebral perfusion pressure in traumatic brain injury.Consensus summary statement of the International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care: a statement for healthcare professionals from the Neurocritical Care Society and the European Society of IntenIntracranial pressure monitoring: fundamental considerations and rationale for monitoring.Prognostication in critically ill patients with severe traumatic brain injury: the TBI-Prognosis multicentre feasibility study.A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care.A comparison of the diagnostic power of the Full Outline of Unresponsiveness scale and the Glasgow coma scale in the discharge outcome prediction of patients with traumatic brain injury admitted to the intensive care unit.Prognostic models for prediction of outcomes after traumatic brain injury based on patients admission characteristics.Temperature disturbances in traumatic brain injury: relationship to secondary insults, barbiturate treatment and outcome.Role of hyperbaric oxygen therapy in severe head injury in children.Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI)Severity and outcome of traumatic brain injuries (TBI) with different causes of injury.Temporal Patterns and Influential Factors of Blood Glucose Levels During the First 10-Day Critical Period After Brain Injury.Timing of intracranial hypertension following severe traumatic brain injury.First CT findings and improvement in GOS and GOSE scores 6 and 12 months after severe traumatic brain injury.Development of a Decision Tree Analysis model that predicts recovery from acute brain injury.Predicting long-term global outcome after traumatic brain injury (TBI): Development of a practical prognostic tool using the TBI Model Systems National Database.Comparison of Glasgow Coma Scale, Full Outline of Unresponsiveness and Acute Physiology and Chronic Health Evaluation in Prediction of Mortality Rate Among Patients With Traumatic Brain Injury Admitted to Intensive Care Unit.Non- Neurological Complications after Traumatic Brain Injury: A Prospective Observational Study
P2860
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P2860
Predicting recovery in patients suffering from traumatic brain injury by using admission variables and physiological data: a comparison between decision tree analysis and logistic regression.
description
2002 nî lūn-bûn
@nan
2002 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Predicting recovery in patient ...... lysis and logistic regression.
@ast
Predicting recovery in patient ...... lysis and logistic regression.
@en
type
label
Predicting recovery in patient ...... lysis and logistic regression.
@ast
Predicting recovery in patient ...... lysis and logistic regression.
@en
prefLabel
Predicting recovery in patient ...... lysis and logistic regression.
@ast
Predicting recovery in patient ...... lysis and logistic regression.
@en
P2093
P1476
Predicting recovery in patient ...... lysis and logistic regression.
@en
P2093
Andrew McQuatt
Carol S A Macmillan
Derek H Sleeman
Patricia A Jones
Patrick F X Statham
Peter J D Andrews
Timothy P Howells
Vincent Corruble
P304
P356
10.3171/JNS.2002.97.2.0326
P577
2002-08-01T00:00:00Z