Title
A novel prognostic model to predict the recovery of ischemie stroke patients
Abstract
Evaluating the prognosis of ischemic stroke can provide useful information for clinical treatment. A novel prognostic model to predict the recovery of ischemic stroke was constructed in this study. We built a prognostic model mainly based on these items including the National Institutes of Health Stroke Scale (NIHSS) score and Traditional Chinese Medicine (TCM) symptoms & signs and their changes during the first 3 days of ischemic stroke patients in three TCM hospitals. Selecting the optimal cut-offvalue for evaluating the prognosis with the Receiver Operating Characteristic (ROC) curve analysis. The result of validation on the data of west medicine hospital showed that the model had a good sensitivity and specificity for judging the prognosis of ischemic stroke.
Year
DOI
Venue
2013
10.1109/BIBM.2013.6732623
BIBM
Keywords
Field
DocType
sensitivity,medical disorders,tcm hospital,ischemie stroke,clinical treatment,ischemic stroke patients,ischemic stroke recovery,west medicine hospital,ischemic stroke patient recovery,data analysis,national institutes of health stroke scale score,receiver operating characteristic curve analysis,recovery,nihss,traditional chinese medicine symptoms & signs,roc,patient rehabilitation,optimal cut-off value,ischemic stroke prognosis,data validation,prognostic model,patient treatment,specificity,sensitivity analysis
Emergency medicine,Receiver operating characteristic,Prognostics,Clinical treatment,Computer science,Stroke,Traditional Chinese medicine,Bioinformatics,Patient treatment
Conference
Volume
Issue
ISSN
null
null
2156-1125
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Kegang Cao100.68
Caihong Fu200.34
Huanqin Li300.34
Xiyan Xin400.34
Ying Gao516.48