The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers

机译：糖尿病患者的30天医院入院风险：与机器学习分类器预测建模

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摘要

The distribution of gender (up) and race (down) in the dataset

机译：在数据集中分配性别（上）和种族（下）

著录项

期刊名称 BMC Medical Informatics and Decision Making
作者
Yujuan Shang; Kui Jiang; Lei Wang; Zheqing Zhang; Siwei Zhou; Yun Liu; Jiancheng Dong; Huiqun Wu;
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作者单位

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年(卷),期 2021(21),Suppl 2
年度 2021
页码 57
总页数 11
原文格式 PDF
正文语种
中图分类情报学;
关键词

机译：预测模型;入院;糖尿病;机器学习;

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专利

1. The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers [J] . Shang Yujuan, Jiang Kui, Wang Lei, BMC Medical Informatics and Decision Making . 2021,第2期

机译：糖尿病患者的30天医院入院风险：与机器学习分类器预测建模
2. A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model [J] . Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering . 2020,第7期

机译：10天内预测医院入院风险的机器学习模型：用蕾丝指数和患者验证医院入院风险（PARR）模型
3. A machine learning approach to predict risk of 30-day readmission: insights from hospital experience surveys completed by patients living with chronic conditions [J] . Kemp Kyle, DSouza Adam, Quan Hude, Quality of life research: An international journal of quality of life aspects of treatment, care and rehabilitation . 2019,第Suppla1期

机译：一种机器学习方法，以预测30天的入住风险：医院体验调查的见解，患有慢性条件的患者完成
4. A Machine Learning-Based Predictive Model for 30-Day Hospital Readmission Prediction for COPD Patients [C] . Vijay Kumar Verma, Wen-Yen Lin IEEE International Conference on Systems, Man, and Cybernetics . 2020

机译：一种基于机器学习的COPD患者30天医院阅内克的预测模型
5. Machine Learning Morphisms: A Framework for Designing and Analyzing Machine Learning Work OWs, Applied to Separability, Error Bounds, and 30-Day Hospital Readmissions [D] . ?Cawi, Eric 2021

机译：机器学习态态：设计和分析机器学习工作的框架，适用于可分离性，错误限制和30天医院入院
6. A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data [O] . Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, 2018

机译：预测心力衰竭患者30天再次入院风险的机器学习模型：电子病历数据的回顾性分析
7. A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data [O] . Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, 2018

机译：一种机器学习模型，以预测心力衰竭患者30天入伍的风险：电子医疗记录数据的回顾性分析

The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers

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