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Big Data in Health Care: Applications and Challenges

comorbidities, and rely on objective data, such as laboratory values or other machine-collected variables that do not require subjective interpretation and input of hospital personnel. A study was conducted by Anderson and Chang (2015) was conducted to determine whether machine-collected data elements could perform as well as a traditional, full risk-adjustment model that includes other physician-assessed and physician-recorded data elements. This research uses all available The National Surgical Quality Improvement Program (NSQIP) data from January 1, 2005, to December

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