CrossRef Text and Data Mining
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Use of Data Mining Techniques to Determine and Predict Length of Stay of Cardiac Patients
Peyman Rezaei Hachesu, Maryam Ahmadi, Somayyeh Alizadeh, Farahnaz Sadoughi
Healthc Inform Res. 2013;19(2):121-129.   Published online June 30, 2013
DOI: https://doi.org/10.4258/hir.2013.19.2.121

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Use of Data Mining Techniques to Determine and Predict Length of Stay of Cardiac Patients
Healthcare Informatics Research. 2013;19(2):121   Crossref logo
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A Machine Learning Approach to Predict Length of Stay for Opioid Overdose Admitted Patients
2021 IEEE International Conference on Big Data (Big Data). 2021;   Crossref logo
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Predicting Hospital Length of Stay of Neonates Admitted to the NICU Using Data Mining Techniques
2020 10th International Conference on Computer and Knowledge Engineering (ICCKE). 2020;   Crossref logo
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NT-proBNP Does Not Predict the Length of Hospital Stay in Patients Admitted with Systolic Heart Failure Exacerbation
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Predefined and data driven CT densitometric features predict critical illness and hospital length of stay in COVID-19 patients
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Why do ‘fast track’ patients stay more than four hours in the emergency department? An investigation of factors that predict length of stay
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Can undernutrition predict length of stay in patients admitted to a short-stay acute care unit?
Proceedings of the Nutrition Society. 2009;68(OCE1):   Crossref logo
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Predefined and data driven CT densitometric features predict critical illness and hospital length of stay in COVID-19 patients
Scientific Reports. 2022;12(1):   Crossref logo
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The Use of an Accelerated Diagnostic Protocol and a Chest Pain Unit Reduces Length of Stay in Patients with Non-Cardiac Chest Pain
Heart, Lung and Circulation. 2017;26:S15   Crossref logo
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Serum Vitamin D Levels Predict 30-day Readmission Rate and Length of Stay in Hospitalized Patients with an Acute Heart Failure Syndrome due to Reduced Ejection Fraction
Journal of Cardiac Failure. 2017;23(8):S82   Crossref logo
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