Mining the human phenome using semantic web technologies: a case study for Type 2 Diabetes
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Mining Electronic Health Records using Linked DataLinked data and online classifications to organise mined patterns in patient dataPhenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass indexBiobanking across the phenome - at the center of chronic disease researchDesiderata for computable representations of electronic health records-driven phenotype algorithms.A review of approaches to identifying patient phenotype cohorts using electronic health records.An Empirical Study for Impacts of Measurement Errors on EHR based Association Studies.
P2860
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P2860
Mining the human phenome using semantic web technologies: a case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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Mining the human phenome using ...... case study for Type 2 Diabetes
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P2093
Christopher G Chute
Jyotishman Pathak
Richard C Kiefer
Suzette J Bielinski
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2012-11-03T00:00:00Z