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Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments
15 references·0 citing·43 second hop
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2004Risk adjustment of Medicare capitation payments using the CMS-HCC model.805 cited
  • 2016Accountable Health Communities — Addressing Social Needs through Medicare and Medicaid606 cited
  • 2014Social Epidemiology484 cited
  • 2000Using diagnoses to describe populations and predict costs.298 cited
  • 2006Confidence Intervals for Rank Statistics: Somers’ D and Extensions270 cited
  • 2001Socio-economic and locational determinants of accessibility and utilization of primary health-care223 cited
  • 2019Adjusting for social risk factors impacts performance and penalties in the hospital readmissions reduction program214 cited
  • 2015Looking Beyond Income and Education211 cited
  • 2017Social Determinants of Health in Managed Care Payment Formulas137 cited
  • 2014The HHS-HCC Risk Adjustment Model for Individual and Small Group Markets under the Affordable Care Act123 cited
  • 2016A Machine Learning Framework for Plan Payment Risk Adjustment91 cited
  • 2016Hospital Network Competition and Adverse Selection: Evidence from the Massachusetts Health Insurance Exchange91 cited
  • 2019Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults

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82 cited
  • 2016Comparison of small-area deprivation measures as predictors of chronic disease burden in a low-income population32 cited
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