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. Author manuscript; available in PMC: 2022 Mar 1.
Published in final edited form as: Clin Exp Allergy. 2021 Jul 31;51(9):1195–1206. doi: 10.1111/cea.13993

Figure 2. Three atopic dermatitis (AD) and one reference trajectory generated from the unsupervised machine learning approach.

Figure 2

Figure legend: The unsupervised machine learning method identified four atopic dermatitis trajectories. Early onset transient (EOT) was made up of children with high probability of reporting AD in the first 12 months of life and this subsequently decreased up till year 8. The early onset persistent (EOP) AD trajectory was marked by a gradual increase in probability of AD from month 3 to month 18 and this remained high throughout till year 8. In the late onset persistent (LOP) trajectory, probability of AD was low in the first year of life, peaking at 3 years and stabilized thereafter up till year 8. Those with low probability of reporting atopic dermatitis were classified in the reference group.