Risk prediction of household mite infestation based on machine learning-Reference-Cited by-同舟云学术

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Risk prediction of household mite infestation based on machine learning

Published:2020-10 Issue: Volume:183 Page:107154
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Pei Jingjing,Gong Jinlian,Wang Zhiqiang

Funder

National Natural Science Foundation of China

Key Projects of Scientific Research Plan of Tianjin Education Commission

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference57 articles.

1. Pro: the evidence for a causal role of dust mites in asthma;Platts-mills;Am. J. Respir. Crit. Care Med.,2009

2. Dust mite allergens and asthma ― a worldwide problem;Platts-mills;J. Allergy Clin. Immunol.,1989

3. Biology, ecology, and prevalence of dust mites;Arlian;Immunol. Allergy Clin. North Am.,2003

4. House dust mite allergen in US beds: results from the first national survey of lead and allergens in housing;Arbes;J. Allergy Clin. Immunol.,2003

5. The effects of season, climate, and air-conditioning on the prevalence of Dermatophagoides mite allergens in household dust;Lintner;J. Allergy Clin. Immunol.,1993

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