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

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
JournalBMJ Open
DOIs
Publication statusPublished - 23 Jul 2020

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