A Bayesian Logistic Regression approach in Asthma Persistence Prediction
Background: A number of models based on clinical parameters have been used for the prediction of asthma persistence in children. The number and significance of factors that are used in a proposed model play a cardinal role in prediction accuracy. Different models may lead to different significant...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Milano University Press
2022-02-01
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| Series: | Epidemiology, Biostatistics and Public Health |
| Online Access: | https://riviste.unimi.it/index.php/ebph/article/view/17433 |
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