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Using machine learning to predict paediatric 30-day unplanned hospital readmissions: a case-control retrospective analysis of medical records, including written discharge documentation

Huaqiong Zhou A B , Matthew A. Albrecht B , Pamela A. Roberts B , Paul Porter B C and Philip R. Della B D E
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A General Surgical Ward, Princess Margaret Hospital for Children, Perth, WA 6008, Australia.

B School of Nursing, Curtin University, GPO Box U 1987, Perth, WA 6845, Australia. Email address: h.zhou@curtin.edu.au; matthew.albrecht@curtin.edu.au; p.a.roberts@curtin.edu.au; paul.porter@curtin.edu.au

C Joondalup Health Campus, Joondalup, WA 6027, Australia.

D Visiting Professor, College of Nursing, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

E Corresponding author. Email: p.della@curtin.edu.au

Australian Health Review 45(3) 328-337 https://doi.org/10.1071/AH20062
Submitted: 14 April 2020  Accepted: 18 June 2020   Published: 12 April 2021



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