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Identification of temporal condition patterns associated with pediatric obesity incidence using sequence mining and big data

Medicine and Health

Identification of temporal condition patterns associated with pediatric obesity incidence using sequence mining and big data

E. A. Campbell, T. Qian, et al.

This groundbreaking study conducted by Elizabeth A. Campbell, Ting Qian, Jeffrey M. Miller, Ellen J. Bass, and Aaron J. Masino explores crucial temporal patterns linked to pediatric obesity using EHR data. It uncovers strong associations between pre-obesity conditions like asthma and allergic rhinitis, suggesting these could be early indicators of obesity.

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