首页> 外文OA文献 >A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus

【2h】

A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus

机译：特征选择和预测机学习算法的比较预测1型糖尿病糖尿病的糖尿病

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
Ignacio Rodríguez-Rodríguez; José-Víctor Rodríguez; Wai Lok Woo; Bo Wei; Domingo-Javier Pardo-Quiles;
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. The American Association of Clinical Endocrinologists/American College of Endocrinology (AACE/ACE) algorithm for managing glycaemia in patients with type 2 diabetes mellitus: comparison with the ADA/EASD algorithm [J] . H. W. Rodbard, P. S. Jellinger Diabetologia . 2010,第11期

机译：美国临床内分泌医师协会/美国内分泌学会（AACE / ACE）算法用于控制2型糖尿病患者的血糖：与ADA / EASD算法的比较
2. Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms [J] . Nagaraj Sunil B., Sidorenkov Grigory, Boven Job F. M., Diabetes, obesity & metabolism . 2019,第12期

机译：使用机器学习算法预测2型糖尿病患者胰岛素胰岛素后的短期和长期糖化血红蛋白应答
3. Finding biomarker genes for Type 2 Diabetes Mellitus using chi-2 feature selection method and logistic regression supervised learning algorithm [J] . Hala M Alshamlan International journal of computer science and network security . 2021,第2期

机译：使用CHI-2特征选择方法和Logistic回归监督学习算法寻找2型糖尿病的生物标志物基因
4. Diabetes Prediction using Machine Learning Algorithms with Feature Selection and Dimensionality Reduction [C] . S Sivaranjani, S Ananya, J Aravinth, International Conference on Advanced Computing and Communication Systems . 2021

机译：使用机器学习算法具有特征选择和维数减少的机器学习算法预测
5. Social Comparison Theory in the Context of Chronic Illness: Predictors and Consequences of Target Selection among Individuals with Type 2 Diabetes [D] . Arigo, Danielle 2012

机译：慢性疾病背景下的社会比较理论：2型糖尿病患者中目标选择的预测因素和结果
6. Interpretable Machine Learning Algorithm Reveals Novel Gut Microbiome Features in Predicting Type 2 Diabetes [O] . Wanglong Gou, Chu-Wen Ling, Yan He, 2020

机译：可解释性机器学习算法揭示了预测2型糖尿病的新型肠道微生物组特征
7. Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches † [O] . Salah Bouktif, Ali Fiaz, Ali Ouni, 2018

机译：采用特征选择和遗传算法电负荷预测的最佳深度学习LSTM模型：与机器学习方法的比较†

A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus

著录项

引文网络

相似文献

相关主题

期刊订阅