摘要 : In this paper, we explore the ability of a hybrid model integrating Long Short-Term Memory (LSTM) networks and eXtreme Gradient Boosting (XGBoost) to enhance the prediction accuracy of Type II Diabetes Mellitus, which is caused by... 展开
作者 | Ayoub Djama Waberi Ronald Waweru Mwangi Richard Maina Rimiru |
---|---|
作者单位 | |
期刊名称 | 《Journal of Data Analysis and Information Processing》 |
期刊英文名称 | 《数据分析和信息处理(英文)》 |
页码/总页数 | P.163-188 / 26 |
语种/中图分类号 | 汉语 / R58 |
关键词 | LSTM XGBoost Hybrid Models Machine Learning. Deep Learning |
DOI | 10.4236/jdaip.2024.122010 |