基于机器学习构建中重度抑郁症住院患者使用SNRI类抗抑郁药的疗效预测模型
中图分类号 R971+.43;TP181 文献标志码A 文章编号 1001-0408(2025)15-1936-06DOI 10.6039/j.issn.1001-0408.2025.15.21
Construction of a predictive model for the eficacy of SNRI antidepressants in inpatientswith moderate and severe depression based on machine learning
LIU Xuetao'2，LIU Yang'，LI Hongjian2，WU Jianhua2，LIU Siming2，JIAO Min，YU Luhai2(1. School of Pharmacy，Shihezi University，Xinjiang Shihezi 8320o0，China；2.Dept.of Pharmacy，Xinjiang Uygur Autonomous Region People's Hospital，Urumqi 830001，China)
ABSTRACTOBJECTIVEToconstructapredictionmodelfortheeficacyof serotonin-norepinephrinereuptake inhibitor (SNRI)ininpatients withmoderateand severedepresion byusingamachine learning method.METHODS Thecaserecordsof inpatients withmoderateandseveredepressiontreaedwithSNIantidepressantserecolectedfromathirdgradeclass-Aospital in XinjiagfromJanuary222toOctober2024；thosepatients weredividedintoefectivegroupand ineffectivegroupbasedonthe Hamiltondepressonscale-24scorereductionrate.Afterscrenngthecharacteristicvariablesrelatedtothetherapeuticeffcacyof SNRI drugs through LASSOregresion，fiveprediction modelsincludingsupport vector machine ......
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