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Endnote x9 requirements
Endnote x9 requirements









No statistically significant difference (difference 0.03, 95% confidence interval −0.0 to 0.07) was found between average C statistics of models developed using regression methods (0.71, 0.68 to 0.73) and machine learning (0.74, 0.71 to 0.77). Twenty six studies used logistic or Cox regression models, and the rest used machine learning methods. Using natural language processing, three models were able to extract relevant psychosocial features, which substantially improved their predictions. Using EMR data enabled final predictive models to use a wide variety of clinical measures such as laboratory results and vital signs however, use of socioeconomic features or functional status was rare. Fifteen models used calibration techniques to further refine the model. Seventeen of 41 studies reported C statistics of 0.75 or greater. Twenty five models used a split sample validation technique. The total sample size for each model ranged between 349 and 1 195 640. Except for two studies from the UK and Israel, all were from the US. Seventeen models predicted risk of readmission for all patients and 24 developed predictions for patient specific populations, with 13 of those being developed for patients with heart conditions. Results Of 4442 citations reviewed, 41 studies met the inclusion criteria.

endnote x9 requirements endnote x9 requirements

  • Correspondence to: E Mahmoudi (or on Twitter).
  • 11Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, USA.
  • 10Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
  • 9Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, MI, USA.
  • 8Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
  • 7Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
  • 6Undergraduate Research Opportunity Program, University of Michigan, Ann Arbor, MI, USA.
  • 5Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
  • 4Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.
  • 3Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA.
  • 2Institute for Healthcare Policy and Innovation, University of Michigan Medical School, Ann Arbor, MI, USA.
  • 1Department of Family Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
  • endnote x9 requirements

    Akbar K Waljee, associate professor, co-director, staff physician and researcher 8 9 11.Karandeep Singh, assistant professor 7 10,.

    endnote x9 requirements

  • Gabriella Gonzales, undergraduate student, research assistant 6 1,.
  • Noa Kim, research informatics project manager 1,.
  • Neil Kamdar, statistician expert 2 3 4 5,.
  • Elham Mahmoudi, assistant professor 1 2,.










  • Endnote x9 requirements