Work

Using Monte Carlo/Gaussian Based Small Area Estimates to Predict Where Medicaid Patients Reside.

Year: 2016

Type: conference-paper

Abstract: . The Albuquerque data, which includes patient address, will first be used to assess the accuracy of the methodology. Subsequently, it will be combined with the EHR data from Chicago to develop a regression that predicts Medicaid patients by US Block Group. We seek to create a tool that is effective in translating EHR data's potential for population health studies.

Source: PubMed

Authors: Jess J Behrens, Xuejin Wen, Satyender Goel, Jing Zhou, Lina Fu, Abel N Kho

Institution: Northwestern University

Language: English

Topic: demographic modeling and climate adaptation

Subfield: Geography, Planning and Development

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2620740466

FWCI: 2.786

Cites: 10

Cited by: 2

Related to: 10