Predicting the risk of asthma attacks in children, adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort
Introduction Most asthma attacks and subsequent deaths are potentially preventable. We aim to develop a prognostic tool for identifying patients at high risk of asthma attacks in primary care by leveraging advances in machine learning.Methods and analysis Current prognostic tools use logistic regres...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2020-07-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/10/7/e036099.full |
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