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Using item response theory with health system data to identify latent groups of patients with multiple health conditions
A critical step toward tailoring effective interventions for heterogeneous and medically complex patients is to identify clinically meaningful subgroups on the basis of their comorbid conditions. We applied Item Response Theory (IRT), a potentially useful tool to identify clinically meaningful subgr...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | PLoS One |
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| Κύριοι συγγραφείς: | , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Public Library of Science
2018
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6261016/ https://ncbi.nlm.nih.gov/pubmed/30475823 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0206915 |
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