Using "big data" to capture overall health status: properties and predictive value of a claims-based health risk score
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Predicting later life health status and mortality using state-level socioeconomic characteristics in early lifeIncident ischemic heart disease after long-term occupational exposure to fine particulate matter: accounting for 2 forms of survivor biasIschemic Heart Disease Incidence in Relation to Fine versus Total Particulate Matter Exposure in a U.S. Aluminum Industry CohortThe impact of retirement on health: quasi-experimental methods using administrative dataLinking individual medicare health claims data with work-life claims and other administrative dataThe Effects of Job Insecurity on Health Care Utilization: Findings from a Panel of U.S. Workers.PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.Cohort Research in "Omics" and Preventive Medicine.
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P2860
Using "big data" to capture overall health status: properties and predictive value of a claims-based health risk score
description
2015 nî lūn-bûn
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2015年の論文
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name
Using "big data" to capture ov ...... claims-based health risk score
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Using "big data" to capture ov ...... claims-based health risk score
@en
Using "big data" to capture ov ...... claims-based health risk score
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Using "big data" to capture ov ...... claims-based health risk score
@ast
Using "big data" to capture ov ...... claims-based health risk score
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Using "big data" to capture ov ...... claims-based health risk score
@nl
prefLabel
Using "big data" to capture ov ...... claims-based health risk score
@ast
Using "big data" to capture ov ...... claims-based health risk score
@en
Using "big data" to capture ov ...... claims-based health risk score
@nl
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Using "big data" to capture ov ...... claims-based health risk score
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Benjamin A Goldstein
Jessica Kubo
Sepideh Modrek
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10.1371/JOURNAL.PONE.0126054
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2015-01-01T00:00:00Z