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1067-5027
1527-974X |
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2 |
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245-255 |
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Journal of the American Medical Informatics Association : JAMIA |
| startingPage |
245 |
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| bibliographicCitation |
Yang L, Wang S, Altman RB. POPDx: an automated framework for patient phenotyping across 392 246 individuals in the UK Biobank study. J Am Med Inform Assoc. 2023 Jan 18;30(2):245–55. PMID: 36469791; PMCID: PMC9846671. |
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2022-12-05^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/36469791
https://pubmed.ncbi.nlm.nih.gov/PMC9846671
https://doi.org/10.1093/jamia/ocac226 |
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| language |
English |
| source |
https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/ |
| title |
POPDx: an automated framework for patient phenotyping across 392 246 individuals in the UK Biobank study |
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