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I am hoping to use the MIMIC-III 1.4 data files for a research project looking into health outcomes. When doing a preliminary analysis of the admissions data file, the demographics do not seem to match up consistently across subject IDs. For example, subject 711 has a newborn admission but also has subsequent admissions with Medicare insurance, suggesting this subject is an adult . Furthermore, there are multiple instances of the same subject ID showing different race categories across admissions.
Does anyone have insight regarding how subjects are identified or distinguished in the admissions data file?
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Hi there.
I am hoping to use the MIMIC-III 1.4 data files for a research project looking into health outcomes. When doing a preliminary analysis of the admissions data file, the demographics do not seem to match up consistently across subject IDs. For example, subject 711 has a newborn admission but also has subsequent admissions with Medicare insurance, suggesting this subject is an adult . Furthermore, there are multiple instances of the same subject ID showing different race categories across admissions.
Does anyone have insight regarding how subjects are identified or distinguished in the admissions data file?
Any insight is greatly appreciated! Thank you!
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