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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 reg...
Gorde:
| Argitaratua izan da: | BMJ Open |
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| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BMJ Publishing Group
2020
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7380838/ https://ncbi.nlm.nih.gov/pubmed/32709646 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjopen-2019-036099 |
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