ArticleBMC public health2025
Factors associated with allergic diseases in Chinese children aged 6-14 years.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Geospatial and machine learning analyses of cardiovascular disease mortality across the continental United States: Identifying associated variables using Shapley values.BMC public health · 2026Article
- Existential distress and social alienation in adolescents with allergic rhinitis: the serial mediating roles of psychological inflexibility and experiential avoidance.Frontiers in public health · 2026Article
- Nutritional determinants, childhood morbidity patterns, and healthcare utilization among Chinese children: a population-based study.Frontiers in public health · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesWe aimed to identify and optimize contributing factors associated with allergic diseases by machine/deep learning algorithms among school-age children aged 6-14 years.
methodsWe performed a cross-sectional survey in eight primary schools and 16 middle schools using a clustering sample strategy. Data were collected by questionnaires. Machine/deep learning algorithms were implemented using Python (v3.7.6).
resultsOf 11308 children enrolled, 4375 had allergic diseases. The prevalence of asthma, allergic rhinitis and eczema was 6.31% (N=713), 25.36% (N=2868) and 21.38% (N=2418), respectively. Of 12 machine-learning algorithms, Gaussian naive Bayes (NB) outperformed the others for asthma, Bernoulli NB for rhinitis and multinomial NB for eczema. By comparison, a minimal set of six, five and five key factors were identified for asthma (episodes of upper and lower respiratory infection, age, gender, family history of diabetes and dental caries), rhinitis (episodes of upper respiratory infection, age, gender, maternal education and family history of diabetes) and eczema (episodes of upper respiratory infection, age, maternal education, outdoor activities and dental caries), respectively.
conclusionsWe identified three minimal sets of factors that can capture the majority of whole information and accurately predict the risk for asthma, rhinitis and eczema among children aged 6-14 years.
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