Multi-outcome predictive modelling of anesthesia patients

作     者：Le Yi Wang George MMcKelvey Hong Wang 

作者机构：Department of Electrical and Computer EngineeringWayne State UniversityDetroitMI 48202USA Department of AnesthesiologyDetroit Medical CenterDetroitMI 48201USA Department of AnesthesiologyWest Virginia University HospitalMorgantownWV 26505USA 

出 版 物：《The Journal of Biomedical Research》 (生物医学研究杂志（英文版）)

年 卷 期：2019年第33卷第6期

页      面：430-434页

核心收录：

学科分类：1002[医学-临床医学] 100217[医学-麻醉学] 10[医学] 

主　　题：anesthesiology monitoring anesthesia depth patient model outcome prediction computer-assisted decision 

摘      要：Conjunctive use of anesthetic agents results in drug interactions which can alter or influence multiple patient outcomes such as anesthesia depth,and cardiorespiratory parameters which can also be altered by patient conditions and surgical *** artificial intelligence technology to continuously gather data of drug infusion and patient outcomes,we can generate reliable computer models individualized for a patient during specific stages of particular surgical *** data can then be used to extend the current anesthesia monitoring functions to include future impact prediction,drug administration planning,and anesthesia decisions.