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The application of machine learning to predict high-cost patients: A performance-comparison of different models using healthcare claims data
Our aim was to predict future high-cost patients with machine learning using healthcare claims data. We applied a random forest (RF), a gradient boosting machine (GBM), an artificial neural network (ANN) and a logistic regression (LR) to predict high-cost patients in the following year. Therefore, w...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847900/ https://www.ncbi.nlm.nih.gov/pubmed/36652450 http://dx.doi.org/10.1371/journal.pone.0279540 |