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Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations
Electronic health records (EHRs) contain important temporal information about the progression of disease and treatment outcomes. This paper proposes a transitive sequencing approach for constructing temporal representations from EHR observations for downstream machine learning. Using clinical data f...
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| Pubblicato in: | Patterns (N Y) |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7301790/ https://ncbi.nlm.nih.gov/pubmed/32835307 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2020.100051 |
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