Application of Data Mining Techniques to Predict the Length of Stay of Hospitalized Patients with Diabetes
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IEEE
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http://xplorestaging.ieee.org/ielx7/8496951/8500055/08500068.pdf?arnumber=8500068
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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2. Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI);Scientific Reports;2024-05-29
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4. Data analytics approach for short- and long-term mortality prediction following acute non-ST-elevation myocardial infarction (NSTEMI) and Unstable Angina (UA) in Asians;PLOS ONE;2024-02-15
5. Length of Stay Prediction for Diabetes Mellitus Patients on Indonesia Health Insurance Data using Logistic Regression and Process Mining;2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA);2023-12-13
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