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Learning Latent Heterogeneity for Type 2 Diabetes Patients Using Longitudinal Health Markers in Electronic Health Records
Electronic health records (EHRs) from type 2 diabetic (T2D) patients consist of longitudinally and sparsely measured health-markers at clinical encounters. Our goal is to use such data to learn latent patterns that can inform patientâĂŹs health status related to T2D while accounting for challenges i...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Stat Med |
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| Κύριοι συγγραφείς: | , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2021
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8033418/ https://ncbi.nlm.nih.gov/pubmed/33586187 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8880 |
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