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A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room
Logistic regression (LR) is widely used in clinical prediction because it is simple to deploy and easy to interpret. Nevertheless, being a linear model, LR has limited expressive capability and often has unsatisfactory performance. Generalized additive models (GAMs) extend the linear model with tran...
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| Pubblicato in: | AMIA Annu Symp Proc |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Medical Informatics Association
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7153157/ https://ncbi.nlm.nih.gov/pubmed/32308827 |
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