Turchin, Alexander

Identification of Patients with Low Life Expectancy - Final Report

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Identification of Patients with Low Life Expectancy

Description: 

This research combined the artificial intelligence technology technique Dynamic Logic with natural language processing to create a model to predict risk of death over the next 12 months and found it was better than benchmark statistical and machine learning algorithms.

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Project Dates: 
August 1, 2015 to May 31, 2019

Lexical concept distribution reflects clinical practice.

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Following the money: copy-paste of lifestyle counseling documentation and provider billing.

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Electronic documentation of lifestyle counseling and glycemic control in patients with diabetes.

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Performance of primary care physicians and other providers on key process measures in the treatment of diabetes.

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Prevalence and factors affecting home blood pressure documentation in routine clinical care: a retrospective study.

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Encounter frequency and blood pressure in hypertensive patients with diabetes mellitus.

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The doctor needs to see you now: accelerating the care of patients with uncontrolled hypertension.

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Encounter frequency and serum glucose level, blood pressure, and cholesterol level control in patients with diabetes mellitus.

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