临床神经外科杂志Issue(2)：99-103,5.DOI:10.3969/j.issn.1672-7770.2019.02.002
颅脑损伤患者临床死亡预测:一项基于机器学习的主成分分析-逻辑回归模型
Establishment of clinical death prediction in patients with craniocerebral injury: A PCA- Logistic regression model based on machine learning
摘要
Abstract
Objective To explore the application of PCA-logical regression model in predicting clinical death in patients with brain injury and to find the pathophysiological patterns and important risk factors that affect clinical prognosis.Methods The clinical data of 108 brain injury patients who met the research criteria in the database of the trauma center of Sichuan Provincial People’s Hospital from 2011 to 2017 were collected.The PCA-logical regression model was established , and the prediction effect of the death outcome model was verified by using the ROC model.Results The PCA logistic regression model analysis found that the impact of patients’death outcomes were the first, eighth, eleventh and twelfth main components , respectively.The calculated index coefficient corresponding to the indications and measures had a greater influence on the open cranial brain damage, coagulation changes , tracheotomy, brain stem injury, hematoma volume, infectious complications, glucocorticoids, EN use time, and diastolic blood pressure.The PCA logistic regression model was evaluated by ROC curve.The PCA-R model were able to identify the risk factors and forecast the clinical outcomes ( Mortality, sensitivity 92.3%, specificity 93.7%, AUC 0.983).Conclusions PCA logic regression analysis can effectively explore the clinical variables of patients with craniocerebral injury and establish a prognostic model of clinical death .The insufficiency of blood flow perfusion after severe craniocerebral injury may be an important pathophysiological model that affects the survival of patients.关键词
重度颅脑损伤/模式识别/主成分分析/逻辑回归/机器学习Key words
traumatic brain injury/ pattern recognition/ principal component analysis / logistic regression/ machine learning分类
医药卫生引用本文复制引用
NG Jin-zhou,LIU Fa-jian,JIANG Hua...颅脑损伤患者临床死亡预测:一项基于机器学习的主成分分析-逻辑回归模型[J].临床神经外科杂志,2019,(2):99-103,5.基金项目
四川省卫生厅科研资助项目(110212,16PJ447) （110212,16PJ447）
四川省科技厅计划科研资助项目(2014FZ0125) （2014FZ0125）
