清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Developing and optimizing a machine learning predictive model for post-thrombotic syndrome in a longitudinal cohort of patients with proximal deep venous thrombosis

血栓后综合征 接收机工作特性 医学 逻辑回归 队列 深静脉 体质指数 静脉血栓形成 决策树 随机森林 预测建模 内科学 血栓形成 外科 人工智能 机器学习 计算机科学
作者
Zhaoyu Wu,Yixuan Li,Jiahao Lei,Peng Qiu,Haichun Liu,Xinrui Yang,Tao Chen,Xinwu Lu
出处
期刊:Journal of vascular surgery. Venous and lymphatic disorders [Elsevier BV]
卷期号:11 (3): 555-564.e5 被引量:1
标识
DOI:10.1016/j.jvsv.2022.12.006
摘要

Post-thrombotic syndrome (PTS) is the most common chronic complication of deep venous thrombosis (DVT). Risk measurement and stratification of PTS are crucial for patients with DVT. This study aimed to develop predictive models of PTS using machine learning for patients with proximal DVT.Herein, hospital inpatients from a DVT registry electronic health record database were randomly divided into a derivation and a validation set, and four predictive models were constructed using logistic regression, simple decision tree, eXtreme Gradient Boosting (XGBoost), and random forest (RF) algorithms. The presence of PTS was defined according to the Villalta scale. The areas under the receiver operating characteristic curves, decision-curve analysis, and calibration curves were applied to evaluate the performance of these models. The Shapley Additive exPlanations analysis was performed to explain the predictive models.Among the 300 patients, 126 developed a PTS at 6 months after DVT. The RF model exhibited the best performance among the four models, with an area under the receiver operating characteristic curves of 0.891. The RF model demonstrated that Villalta score at admission, age, body mass index, and pain on calf compression were significant predictors for PTS, with accurate prediction at the individual level. The Shapley Additive exPlanations analysis suggested a nonlinear correlation between age and PTS, with two peak ages of onset at 50 and 70 years.The current predictive model identified significant predictors and accurately predicted PTS for patients with proximal DVT. Moreover, the model demonstrated a nonlinear correlation between age and PTS, which might be valuable in risk measurement and stratification of PTS in patients with proximal DVT.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
乒坛巨人完成签到 ,获得积分0
5秒前
米奇妙妙屋完成签到,获得积分10
14秒前
liaomr完成签到 ,获得积分10
22秒前
23秒前
celia完成签到 ,获得积分10
25秒前
清脆钧发布了新的文献求助10
27秒前
33秒前
33秒前
chcmy完成签到 ,获得积分0
34秒前
livra1058完成签到,获得积分10
53秒前
Hxq完成签到 ,获得积分10
53秒前
阿曾完成签到 ,获得积分10
1分钟前
vitamin完成签到 ,获得积分10
1分钟前
dashi完成签到 ,获得积分10
1分钟前
无悔完成签到 ,获得积分10
1分钟前
LaTeXer应助feng采纳,获得200
1分钟前
胡国伦完成签到 ,获得积分10
1分钟前
善学以致用应助ceeray23采纳,获得20
2分钟前
wack发布了新的文献求助10
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
YifanWang应助科研通管家采纳,获得30
2分钟前
YifanWang应助科研通管家采纳,获得50
2分钟前
CipherSage应助科研通管家采纳,获得10
2分钟前
LeoBigman完成签到 ,获得积分10
2分钟前
文与武完成签到 ,获得积分10
3分钟前
昌莆完成签到 ,获得积分10
3分钟前
xmhxpz完成签到,获得积分10
3分钟前
wack发布了新的文献求助10
3分钟前
3分钟前
搁浅完成签到,获得积分10
3分钟前
zhao完成签到,获得积分10
4分钟前
Hua完成签到,获得积分0
4分钟前
dingding完成签到,获得积分10
4分钟前
月儿完成签到 ,获得积分10
4分钟前
科研通AI2S应助科研通管家采纳,获得10
4分钟前
YifanWang应助科研通管家采纳,获得10
4分钟前
YifanWang应助科研通管家采纳,获得10
4分钟前
YifanWang应助科研通管家采纳,获得40
4分钟前
蔡从安发布了新的文献求助10
4分钟前
糖醋里脊加醋完成签到 ,获得积分10
4分钟前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3990603
求助须知:如何正确求助?哪些是违规求助? 3532220
关于积分的说明 11256532
捐赠科研通 3271057
什么是DOI,文献DOI怎么找? 1805229
邀请新用户注册赠送积分活动 882302
科研通“疑难数据库(出版商)”最低求助积分说明 809234