基于SMOTE算法的急性缺血性腦卒中患者發(fā)生吞咽功能障礙風(fēng)險預(yù)警模型的構(gòu)建

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中圖分類號：R743.3 文獻標識碼：A文章編號：1006-1959（2025）12-0006-06

DOI：10.3969/j.issn.1006-1959.2025.12.002

ConstructionofaRiskWarningModel forSwallowingDysfunctioninPatientswith AcuteIschemic StrokeBased on SMOTE Algorithm

ZHANG Jia，XU Jing

（DepartmentofurologythecondAlatedHositalofjngdicalUversityUrumio，ing，a）

Abstract：ObeeTalhisctorsfalogfuciisutestroedtablisndidlag modelbasedonSOTElgoritMetodsAtotalof187patientswithacutescheicstrokeadmitedtoourhospitalfromJauarytoDecember 2022wereseeedAcodngttreatitsadspgiatddditosggoun=6ndallogfuc group（n=17）Uatedistcsalsefoolialataofoosofit independent risk factors fordysphagia，andaprediction model P1 wasestablished.At the same time，the earlywarningmodel P2 of the improved data setwasonstructedasedontheMOEalgorittoexpandthlowsampledtasetndteprediciveailityofteodelwaseaatedbyte receiveroperatigueOCsulseasdeasdoesicsioslaedinsedfct were independent risk factors for dysphagia in patients with acute stroke（ P<0.05） .The prediction rateof model P1=1/[1+e-（-5.102+0.044×X1+0.164×X2+1.141×X3+0.725×X4）] ， （20 P2 =11 +e P2 model wassignificantly higherthan thatof P1 modelt=10.642， （204 P<0.001 ），andthe sensitivity and specificity of P2 model in predicting swallowing dysfunction were higher than those of P1 model.The calibration curveshowstatthemodelpredictshighconsistencybetweenthepredictedprobabilityandtheactualprobabiltofacutestrok.Cocusion Increasedgeesdsiladistdzoelyaedtalogui inpatientswithcuetroke.ouhteOEoversamplingagoi，teidividualiedalwaingodelasedonteaboeisctos ahigh diagnostic efficiency for swallowing dysfunction in patients with acute stroke.

KeyWords：Acute ischemic stroke;Swallowingdysfunction;Oversampling;Model

吞咽功能障礙（swallowingdysfunction）是腦卒中（stroke）后常見的并發(fā)癥，患者主要表現(xiàn)為吞咽困難及飲水或進食嗆咳等，不僅可導(dǎo)致卒中患者產(chǎn)生心理障礙，且由于進食困難，還可進一步引起患者飲食量減少，導(dǎo)致營養(yǎng)攝入不足，并增加了吸入性肺炎，甚至室息等并發(fā)癥的發(fā)生風(fēng)險。（剩余7668字）