首页> 外文OA文献 >Predicting infection and sepsis; what predictors have been used to train machine learning algorithms? A systematic review

【2h】

Predicting infection and sepsis; what predictors have been used to train machine learning algorithms? A systematic review

机译：预测感染和败血症;预测者已被用于训练机器学习算法？系统评价

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
N Hassan; R Slight; D Weiand; A Vellinga; G Morgan; F Aboushareb; S P Slight;
展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling [J] . Antosik-Wojcinska Anna Z., Dominiak Monika, Chojnacka Magdalena, International journal of medical informatics . 2020,第Juna期

机译：智能手机作为双极障碍的监测工具：系统审查，包括数据分析，机器学习算法和预测建模
2. Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review [J] . Yena Lee, Renee-Marie Ragguett, Rodrigo B. Mansur, Journal of affective disorders . 2018,第期

机译：机器学习算法在抑郁症预测治疗结果的应用：META分析和系统评论
3. Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models [J] . Senanayake Sameera, White Nicole, Graves Nicholas, International journal of medical informatics . 2019,第Octa期

机译：机器学习预测肾移植后的移植失败：对已发表的预测模型的系统评价
4. Predicting COVID-19 infections and deaths in Bangladesh using Machine Learning Algorithms [C] . Mazharul Islam Leon, Md Ifraham Iqbal, Sayed Mehedi Azim, International Conference on Information and Communication Technology for Sustainable Development . 2021

机译：使用机器学习算法预测孟加拉国的Covid-19感染和死亡
5. Predicting Product Recall by Using Machine Learning to Analyze Customer Reviews [D] . Williams, Hayden. 2021

机译：通过使用机器学习来分析客户评论，预测产品召回
6. Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals [O] . Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, 2020

机译：验证早期严重败血症预测的机器学习算法：一种从461 US医院的不同数据集预测严重脓毒症的重试研究高达48小时
7. Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models [O] . Sameera Senanayake, Nicole White, Nicholas Graves, 2019

机译：在肾移植后预测移植物失败的机器学习：发表预测模型的系统综述

Predicting infection and sepsis; what predictors have been used to train machine learning algorithms? A systematic review

著录项

引文网络

相似文献

相关主题

期刊订阅