机器学习驱动的精准医疗在急性冠脉综合征全周期管理中的研究进展

Full-Cycle Management of Acute Coronary Syndrome Driven by Machine Learning in Precision Medicine

DUAN Shoupeng,JIANG Hong,YU Lilei

(CardiovascularHospital,RenminHspitalof WuhanUniversity,HubeiProvincialKeyLaboratoryofAutonomicNervous Regulation，Wuhan University Cardiac AutonomicNerve Research Center，Hubei Provincial Key Laboratoryof CardiovascularDisease,Wuhan 43oO6O,Hubei,China)

【Abstract】Acutecoronarysyndromeisacardiovascularemergencywithhighmortalityworldwide.Moreeficientandacuratesuport tolregetldffllegtvialnttsialetdosial recentears,ithitsoefuldataprocingndateecogitionapabiliis,chelaghasosfcantdatasinte earlysreeningfuteorydodiiduadraentisiakingderseetpictiondteili management,hichhaspromotedthedeeptransformationofacutecoronarysyndromemanagementfromexperiencedriventointeligence driven.Focusingonefulllemanagementofcuteoroarysydroe,tisppersysematicallyeviesterentreseachsof machineleangilicalpcticesussitstonedacticalalengsndprospctsthfuuredevelottr

eywords】 Acute coronary syndrome;Machine learning;Precision medicine;Personalized medicir

人工智能的迅猛发展正重塑现代医学范式，机器学习作为核心技术之一，凭借卓越的数据处理能力和模式识别能力，在精准医疗领域展现出巨大潜力。（剩余14252字）