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Risk factors and direct medical cost of early versus late unplanned readmissions among diabetes patients at a tertiary hospital in Singapore.

May Ee PngJoanne YoongCynthia ChenChuen Seng TanE Shyong TaiEric Y H KhooHwee Lin Wee
Published in: Current medical research and opinion (2018)
Existing routinely captured data can be used to develop prediction models that flag high risk patients during their index admission, potentially helping to support clinical decisions and prevent such readmissions.
Keyphrases
  • risk factors
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • type diabetes
  • healthcare
  • emergency department
  • cardiovascular disease
  • metabolic syndrome
  • glycemic control
  • machine learning