joelEmati/emr-to-doppelganger: From Electronic Medical Record to Digital Doppelganger in Epidemiological Surveillance
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2026
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| _version_ | 1866901080888049664 |
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| author | joelEmati |
| author_facet | joelEmati |
| contents | <p>EMR to Doppelganger is a comprehensive pipeline for creating exchangeable cohorts from Electronic Medical Record (EMR) data using trajectory-aware matching. The methodology extends traditional propensity score matching by incorporating clinical trajectory features (slopes, variances, final values) to ensure matched controls have similar disease progression patterns. This proof-of-concept implementation demonstrates the feasibility of creating doppelganger cohorts using real MIMIC-IV demo data, with automatic data downloading and comprehensive validation.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19366507 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | joelEmati/emr-to-doppelganger: From Electronic Medical Record to Digital Doppelganger in Epidemiological Surveillance joelEmati <p>EMR to Doppelganger is a comprehensive pipeline for creating exchangeable cohorts from Electronic Medical Record (EMR) data using trajectory-aware matching. The methodology extends traditional propensity score matching by incorporating clinical trajectory features (slopes, variances, final values) to ensure matched controls have similar disease progression patterns. This proof-of-concept implementation demonstrates the feasibility of creating doppelganger cohorts using real MIMIC-IV demo data, with automatic data downloading and comprehensive validation.</p> |
| title | joelEmati/emr-to-doppelganger: From Electronic Medical Record to Digital Doppelganger in Epidemiological Surveillance |
| url | https://doi.org/10.5281/zenodo.19366507 |