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Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations
OBJECTIVE: This study aimed to develop and validate a claims-based, machine learning algorithm to predict clinical outcomes across both medical and surgical patient populations. METHODS: This retrospective, observational cohort study, used a random 5% sample of 770,777 fee-for-service Medicare benef...
Tallennettuna:
| Julkaisussa: | PLoS One |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8174683/ https://ncbi.nlm.nih.gov/pubmed/34081720 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0252585 |
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