Addressing Deficiencies from Missing Data in Electronic Health Records
Electronic health records (EHRs) contain a wealth of data that can be used to improve patient-centered outcomes. In particular, EHRs have been used for disease prediction, data-driven clinical decision support, patient trajectory modeling, etc. However, it is common that EHRs data contain substantia...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139587 |