Prediction of Mortality in Patients with Isolated Traumatic Subarachnoid Hemorrhage Using a Decision Tree Classifier: A Retrospective Analysis Based on a Trauma Registry System
暂无分享,去创建一个
Shao-Chun Wu | Ching-Hua Hsieh | C. Rau | C. Hsieh | Shao-Chun Wu | Yi-Chun Chen | Hsiao-yun Hsieh | Cheng-Shyuan Rau | Peng-Chen Chien | Pao-Jen Kuo | Yi-Chun Chen | Hsiao-Yun Hsieh | Pao‐Jen Kuo | P. Chien | Ching-Hua Hsieh
[1] J. Takeuchi,et al. Experimental Studies on the Nervous Control of the Renal Circulation-Effect of the Electrical Stimulation of the Diencephalon on the Renal Circulation , 1960 .
[2] Shiun-Yuan Hsu,et al. Differences between the sexes in motorcycle-related injuries and fatalities at a Taiwanese level I trauma center , 2017, Biomedical journal.
[3] P. Kasbekar,et al. A Decision Tree Analysis of Diabetic Foot Amputation Risk in Indian Patients , 2017, Front. Endocrinol..
[4] M. Lawton,et al. Hypernatremia predicts adverse cardiovascular and neurological outcomes after SAH , 2006, Neurocritical care.
[5] Li-Yen Chang,et al. Analysis of traffic injury severity: an application of non-parametric classification tree techniques. , 2006, Accident; analysis and prevention.
[6] R. Marshall,et al. Multimodal early rehabilitation and predictors of outcome in survivors of severe traumatic brain injury. , 2008, The Journal of trauma.
[7] Grant W. Mallory,et al. Triage Patterns of Traumatic Subarachnoid Hemorrhage: Is Referral to a Tertiary Care Center Necessary? , 2017, World neurosurgery.
[8] D. Menon,et al. Predicting the outcome for individual patients with traumatic brain injury: a case-based review , 2016, British journal of neurosurgery.
[9] W. Poon,et al. Neurological outcome in patients with traumatic brain injury and its relationship with computed tomography patterns of traumatic subarachnoid hemorrhage. , 2011, Journal of neurosurgery.
[10] P. Kilgo,et al. Age thresholds for increased mortality of three predominant crash induced head injuries. , 2008, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.
[11] H. Phelan,et al. Does isolated traumatic subarachnoid hemorrhage merit a lower intensity level of observation than other traumatic brain injury? , 2014, Journal of neurotrauma.
[12] Stan Matwin,et al. A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children , 2010, Journal of Medical Systems.
[13] Hester F. Lingsma,et al. External Validation of the International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury: Prognostic Models for Traumatic Brain Injury on the Study of the Neuroprotective Activity of Progesterone in Severe Traumatic Brain Injuries Trial. , 2016, Journal of neurotrauma.
[14] D. Orringer,et al. Cumulative incidence and predictors of neurosurgical interventions following nonsevere traumatic brain injury with mildly abnormal head imaging findings , 2012, The journal of trauma and acute care surgery.
[15] M. Braddock,et al. Classification and regression tree analysis of acute‐on‐chronic hepatitis B liver failure: Seeing the forest for the trees , 2017, Journal of viral hepatitis.
[16] R. Latifi,et al. Traumatic subarachnoid hemorrhage due to motor vehicle crash versus fall from height: a 4-year epidemiologic study. , 2014, World neurosurgery.
[17] D. McArthur,et al. Hemodynamically significant cerebral vasospasm and outcome after head injury: a prospective study. , 1997, Journal of neurosurgery.
[18] Ewout Steyerberg,et al. Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients , 2008, BMJ : British Medical Journal.
[19] J. Wilberger,et al. The clinical significance of isolated traumatic subarachnoid hemorrhage , 2013, The journal of trauma and acute care surgery.
[20] N. Lipsman,et al. The clinical significance of isolated traumatic subarachnoid hemorrhage in mild traumatic brain injury: A meta-analysis , 2017, Journal of Trauma and Acute Care Surgery.
[21] N. King,et al. External validation of the CRASH and IMPACT prognostic models in severe traumatic brain injury. , 2014, Journal of neurotrauma.
[22] T. C. Stewart,et al. Hypernatremia is associated with increased risk of mortality in pediatric severe traumatic brain injury. , 2013, Journal of neurotrauma.
[23] J. Cruickshank,et al. The stress response in subarachnoid haemorrhage and head injury. , 1990, Acta neurochirurgica. Supplementum.
[24] C. Hsieh,et al. Motorcycle-related hospitalizations of the elderly , 2017, Biomedical journal.
[25] Yuchiao Chang,et al. Patients with traumatic subarachnoid hemorrhage are at low risk for deterioration or neurosurgical intervention , 2013, The journal of trauma and acute care surgery.
[26] Elias Zintzaras,et al. A tree-based decision rule for identifying profile groups of cases without predefined classes: application in diffuse large B-cell lymphomas , 2007, Comput. Biol. Medicine.
[27] G. Sung,et al. Prognostic Significance of Hypernatremia and Hyponatremia among Patients with Aneurysmal Subarachnoid Hemorrhage , 2002, Neurosurgery.
[28] P. Sipponen,et al. PROGNOSIS OF SEVERE BRAIN INJURY , 1970, Acta neurologica Scandinavica.
[29] J. LeeJonathan,et al. Comprehensive Assessment of Isolated Traumatic Subarachnoid Hemorrhage , 2014 .
[30] S. Ross,et al. Epidemiology of blunt head injury victims undergoing ED cranial computed tomographic scanning. , 2006, The American journal of emergency medicine.
[31] John H. Zhang,et al. Traumatic subarachnoid hemorrhage: our current understanding and its evolution over the past half century , 2006, Neurological research.
[32] H. Karibe,et al. Delayed Deterioration in Isolated Traumatic Subarachnoid Hemorrhage. , 2016, World neurosurgery.
[33] E. Steyerberg,et al. Multivariable prognostic analysis in traumatic brain injury: results from the IMPACT study. , 2007, Journal of neurotrauma.
[34] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[35] S. Wisniewski,et al. Classification and Regression Tree (CART) analysis to predict influenza in primary care patients , 2016, BMC Infectious Diseases.
[36] J. J. Lee,et al. Comprehensive assessment of isolated traumatic subarachnoid hemorrhage. , 2014, Journal of neurotrauma.
[37] M. Ebell,et al. External Validation of Two Classification and Regression Tree Models to Predict the Outcome of Inpatient Cardiopulmonary Resuscitation , 2017, Journal of intensive care medicine.
[38] Z. Balogh,et al. AIS>2 in at least two body regions: a potential new anatomical definition of polytrauma. , 2012, Injury.
[39] G. Murray,et al. Traumatic Subarachnoid Hemorrhage: Demographic and Clinical Study of 750 Patients from the European Brain Injury Consortium Survey of Head Injuries , 2002, Neurosurgery.
[40] S. Ross,et al. Isolated traumatic brain injury: age is an independent predictor of mortality and early outcome. , 2002, The Journal of trauma.
[41] P. Foreman,et al. The nonsurgical nature of patients with subarachnoid or intraparenchymal hemorrhage associated with mild traumatic brain injury. , 2015, Journal of neurosurgery.
[42] C. Compagnone,et al. Factors Associated with Neurological Outcome and Lesion Progression in Traumatic Subarachnoid Hemorrhage Patients , 2005, Neurosurgery.
[43] Tzu-Kang Lin,et al. The impact of traumatic subarachnoid hemorrhage on outcome: A study with grouping of traumatic subarachnoid hemorrhage and transcranial Doppler sonography , 2012, The journal of trauma and acute care surgery.
[44] G. Tomei,et al. PATIENTS WITH MODERATE HEAD INJURY: A PROSPECTIVE MULTICENTER STUDY OF 315 PATIENTS , 2009, Neurosurgery.