Factors associated with allergic diseases in Chinese children aged 6-14 years.

ABSTRACT:

Background and objectives

We aimed to identify and optimize contributing factors associated with allergic diseases by machine/deep learning algorithms among school-age children aged 6-14 years.

Methods

We 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).

Results

Of 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.

SUBMITTER: Wang Q 

PROVIDER: S-EPMC12577355 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature