暂无分享,去创建一个
[1] A. Ash,et al. Finding future high-cost cases: comparing prior cost versus diagnosis-based methods. , 2001, Health services research.
[2] B. Smedley,et al. Unequal Treatment: Con-fronting Racial and Ethnic Disparities in Health Care , 2002 .
[3] J. Sommers,et al. Medical Expenditure Panel Survey - Insurance Component (MEPS-IC) , 2004 .
[4] Rachel K. E. Bellamy,et al. AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias , 2018, ArXiv.
[5] Martine De Cock,et al. Population Cost Prediction on Public Healthcare Datasets , 2015, Digital Health.
[6] J. Fleishman,et al. Using information on clinical conditions to predict high-cost patients. , 2010, Health services research.
[7] Laura R Wherry,et al. Using self-reported health measures to predict high-need cases among Medicaid-eligible adults. , 2014, Health services research.
[8] D. Stryer,et al. Balancing the nation's health care scorecard: the National Healthcare Quality and Disparities Reports. , 2005, Joint Commission journal on quality and patient safety.
[9] Toon Calders,et al. Data preprocessing techniques for classification without discrimination , 2011, Knowledge and Information Systems.
[10] Arlene S Ash,et al. Risk-adjusted Payment and Performance Assessment for Primary Care , 2012, Medical care.
[11] Kensaku Kawamoto,et al. Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation , 2017, AMIA.
[12] Adrienne Y. Stith,et al. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care , 2005 .
[13] J. Farley,et al. A comparison of comorbidity measurements to predict healthcare expenditures. , 2006, The American journal of managed care.
[14] Sendhil Mullainathan,et al. Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People , 2019, FAT.