Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending

Objective To propose nonparametric double robust machine learning in variable importance analyses of medical conditions for health spending. Data Sources 2011–2012 Truven MarketScan database. Study Design I evaluate how much more, on average, commercially insured enrollees with each of 26 of the mos...

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Veröffentlicht in:	Health services research 2018-10, Vol.53 (5), p.3836-3854
1. Verfasser:	Rose, Sherri
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Forecasts and trends Health care costs Health insurance Innovative Methods for Surveys and Risk‐Adjustment machine learning Market trend/market analysis Medical care, Cost of Methods regression Risk adjustment
Online-Zugang:	Volltext
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