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Article

Machine learning-derived phenotypic trajectories of asthma and allergy in children and adolescents: protocol for a systematic review.

BMJ open - 30 Aug 2024

Lisik Daniil, Milani Gregorio Paolo, Salisu Michael, Özuygur Ermis Saliha Selin, Goksör Emma, Basna Rani, Wennergren Göran, Kankaanranta Hannu, Nwaru Bright I

Abstract excerpt

INTRODUCTION: Development of asthma and allergies in childhood/adolescence commonly follows a sequential progression termed the 'atopic march'. Recent reports indicate, however, that these diseases are composed of multiple distinct phenotypes, with possibly differential trajectories. We aim to synthesise the current literature in the field of machine learning-based trajectory studies of asthma/allergies in...

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Identifiers

PMID: 39214659
DOI: 10.1136/bmjopen-2023-080263
PMCID: PMC11367367

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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