has been cited by the following article(s):
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[1]
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Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge
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Bouri, T Zhu, T Taylor… - Plos one,
2021 |
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[2]
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Health-related quality of life following heart surgery
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2019 |
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[3]
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Streaming Feature Grouping and Selection (Sfgs) For Big Data Classification
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2019 |
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[4]
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An Analysis of Evolutionary Algorithm Parameters to Estimate the Behavior of the Algorithmic Evolution: A Case Study Using Line Following Robots and Simulations
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2018 |
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[5]
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Estudio de la morbilidad y mortalidad tras la implantación de un programa de cirugía mínimamente invasiva y rehabilitación multimodal
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2017 |
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[6]
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Estudio de la morbilidad y mortalidad tras la implantación de un programa de cirugía mínimamente invasiva y rehabilitación multimodal/tesis doctoral presentada por …
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2017 |
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[7]
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Estudio de la morbilidad y mortalidad tras la implantación de un programa de cirugía cardiaca mínimamente invasiva y rehabilitación multimodal.
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Moncada (Valencia) : Universidad CEU Cardenal Herrera, Facultad de Ciencias de la Salud, Departamento de Cirugía,
2016 |
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[8]
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The applications of genetic algorithms in medicine
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Oman medical journal,
2015 |
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[9]
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ICU Patient Deterioration prediction: a Data-Mining Approach
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arXiv preprint arXiv:1511.06910,
2015 |
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[10]
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EXAMINING THE EFFECT OF FEATURE SELECTION ON IMPROVING PATIENT DETERIORATION PREDICTION
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International Journal of Data Mining & Knowledge Management Process,
2015 |
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[11]
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Health-related quality of life after cardiac surgery – the effects of age, preoperative conditions and postoperative complications
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Journal of Cardiothoracic Surgery,
2014 |
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[1]
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Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge
PLOS ONE,
2021
DOI:10.1371/journal.pone.0260476
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[2]
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Health-related quality of life after cardiac surgery – the effects of age, preoperative conditions and postoperative complications
Journal of Cardiothoracic Surgery,
2014
DOI:10.1186/1749-8090-9-46
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