Construction of a predictive model for the efficacy of SNRI antidepressants in inpatients with moderate and severe depression based on machine learning

LIU Xuetao; LIU Yang; LI Hongjian; WU Jianhua; LIU Siming; JIAO Min; YU Luhai

doi:10.6039/j.issn.1001-0408.2025.15.21

您当前的位置：

首页 >

文章列表页 >

Construction of a predictive model for the efficacy of SNRI antidepressants in inpatients with moderate and severe depression based on machine learning

更新时间：2025-11-14

- Construction of a predictive model for the efficacy of SNRI antidepressants in inpatients with moderate and severe depression based on machine learning
- “Researchers from top tier hospitals in Xinjiang used machine learning to construct a predictive model for SNRI efficacy in patients with depression. The random forest model performed the best with an accuracy of 0.74.”
- ZHONGGUO YAOFANG Vol. 36, Issue 15, Pages: 1936-1941(2025)
- 作者机构：
  
  1.石河子大学药学院，新疆石河子　832000
  2.新疆维吾尔自治区人民医院药学部，乌鲁木齐　830001
- 作者简介：
- 基金信息：
- DOI：10.6039/j.issn.1001-0408.2025.15.21
  CLC： R971+.43;TP181
- Received：10 February 2025，
  
  Revised：2025-07-31，
  
  Accepted：31 July 2025，
  
  Published：15 August 2025
- 稿件说明：
移动端阅览
刘学涛,刘阳,李红建,等.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[J].中国药房,2025,36(15):1936-1941.

LIU Xuetao,LIU Yang,LI Hongjian,et al.Construction of a predictive model for the efficacy of SNRI antidepressants in inpatients with moderate and severe depression based on machine learning[J].ZHONGGUO YAOFANG,2025,36(15):1936-1941.
刘学涛,刘阳,李红建,等.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[J].中国药房,2025,36(15):1936-1941. DOI： 10.6039/j.issn.1001-0408.2025.15.21.

LIU Xuetao,LIU Yang,LI Hongjian,et al.Construction of a predictive model for the efficacy of SNRI antidepressants in inpatients with moderate and severe depression based on machine learning[J].ZHONGGUO YAOFANG,2025,36(15):1936-1941. DOI： 10.6039/j.issn.1001-0408.2025.15.21.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Analysis of influential factors and the construction of a risk prediction model for tigecycline-related drug-induced cholestatic liver disease

Development and validation of risk prediction model for carbapenem-resistant Klebsiella pneumoniae infection

Improvement of quality control methods and “quality evaluation via color discrimination” of Hypericum perforatum

Estimation model for the exposure of mycophenolic acid in early renal transplant recipients

基于GM（1，1）预测模型的中药材价格指数预测

Related Author

YU Jun

ZHANG Lun

WANG Jianqing

LIU Lina

YANG Huanzhi

BAO Jinying

LI Zhiwei

REN Baojun

Related Institution

Dept. of Pharmacy， Anhui Public Health Clinical Center （the First Affiliated Hospital of Anhui Medical University North District）

Dept. of Pharmacy， Kunming First People’s Hospital

Dept. of Pharmacy， the Affiliated Ganmei Hospital of Kunming Medical University

Dept. of Clinical Laboratory， Kunming First People’s Hospital

Intensive Care Unit， Kunming First People’s Hospital

Address：8th Floor, Sihuan Building, No. 129 Daping Main Street, Yuzhong District, Chongqing, China Postal code：400042
Technical support is provided by Beijing Founder Electronics co., LTD 渝ICP备15012710号公网安备50010302001817
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰

Construction of a predictive model for the efficacy of SNRI antidepressants in inpatients with moderate and severe depression based on machine learning

DOI：10.6039/j.issn.1001-0408.2025.15.21