Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes
We develop an algorithm for probabilistic linkage of de-identified research datasets at the patient level, when only diagnosis codes with discrepancies and no personal health identifiers such as name or date of birth are available. It relies on Bayesian modelling of binarized diagnosis codes, and pr...
| Main Authors: | , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2019
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| Online Access: | https://hdl.handle.net/1721.1/122815 |