{"title":"预测经皮冠状动脉介入治疗后复杂风险的新模型","authors":"Sarah Jane Palmer","doi":"10.12968/bjca.2024.0016","DOIUrl":null,"url":null,"abstract":"Sarah Jane Palmer outlines a recent study that developed and tested a tool that uses machine learning to predict and display patients’ risk following percutaneous coronary intervention.","PeriodicalId":72463,"journal":{"name":"British journal of cardiac nursing","volume":"75 1‐2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new model to predict complex risk following percutaneous coronary intervention\",\"authors\":\"Sarah Jane Palmer\",\"doi\":\"10.12968/bjca.2024.0016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sarah Jane Palmer outlines a recent study that developed and tested a tool that uses machine learning to predict and display patients’ risk following percutaneous coronary intervention.\",\"PeriodicalId\":72463,\"journal\":{\"name\":\"British journal of cardiac nursing\",\"volume\":\"75 1‐2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British journal of cardiac nursing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12968/bjca.2024.0016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British journal of cardiac nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12968/bjca.2024.0016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
莎拉-简-帕尔默（Sarah Jane Palmer）概述了最近的一项研究，该研究开发并测试了一种利用机器学习预测和显示经皮冠状动脉介入治疗后患者风险的工具。
A new model to predict complex risk following percutaneous coronary intervention
Sarah Jane Palmer outlines a recent study that developed and tested a tool that uses machine learning to predict and display patients’ risk following percutaneous coronary intervention.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
