Patient Discharge Classification Using Machine Learning Techniques
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DOI: 10.1007/s40745-019-00223-6
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- Fadi Thabtah & Qazafi Mahmood & Lee McCluskey & Hussein Abdel-Jaber, 2010. "A New Classification Based on Association Algorithm," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 55-64.
- Fadi Thabtah & Li Zhang & Neda Abdelhamid, 2019. "NBA Game Result Prediction Using Feature Analysis and Machine Learning," Annals of Data Science, Springer, vol. 6(1), pages 103-116, March.
- Hyunyoung Baek & Minsu Cho & Seok Kim & Hee Hwang & Minseok Song & Sooyoung Yoo, 2018. "Analysis of length of hospital stay using electronic health records: A statistical and data mining approach," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-16, April.
- Fadi Thabtah & Neda Abdelhamid, 2016. "Deriving Correlated Sets of Website Features for Phishing Detection: A Computational Intelligence Approach," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-17, December.
- Fadi Thabtah, 2006. "Rule Preference Effect in Associative Classification Mining," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 13-20.
- Paul Town & Fadi Thabtah, 2019. "Data Analytics Tools: A User Perspective," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-16, March.
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Cited by:
- Mahsa Pahlevani & Majid Taghavi & Peter Vanberkel, 2024. "A systematic literature review of predicting patient discharges using statistical methods and machine learning," Health Care Management Science, Springer, vol. 27(3), pages 458-478, September.
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Keywords
Bayes Net; Data analytics; Data processing; Hospitalisation; Machine learning; Patient discharge; Random Forest;All these keywords.
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