Prediction of Emergency Department Visits for Respiratory Symptoms Using an Artificial Neural Network-Reference-Cited by-同舟云学术

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Prediction of Emergency Department Visits for Respiratory Symptoms Using an Artificial Neural Network

Published:2002-11 Issue:5 Volume:122 Page:1627-1632
ISSN:0012-3692
Container-title:Chest
language:en
Short-container-title:Chest

Author:

Bibi Haim,Nutman Amir,Shoseyov David,Shalom Mendel,Peled Ronit,Kivity Shmuel,Nutman Jacob

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Critical Care and Intensive Care Medicine,Pulmonary and Respiratory Medicine

Reference30 articles.

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2. Daily asthma severity in relation to personal ozone exposure and out door fungal spores;Delfino;Am J Respir Crit Care Med,1996

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

4. Prediction of annual variations in atmospheric concentrations of grass pollen: a method based on meteorological factors and grain crop estimates;Subiza;Clin Exp Allergy,1992

5. Association of severe asthma attacks with weather, pollen, and air pollutants;Rossi;Thorax,1993

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