Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Screening for asthma by population ranking: a validation study.

Sybil Hirsch¹, Timothy L Frank, Michelle Hazell

¹General Practice Research Unit, North West Lung Research Centre, Wythenshawe Hospital, Manchester, M23 9LT, UK. sybil@miga.demon.co.uk

Annals of Epidemiology

|December 2, 2004

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Uptake of internet-delivered UK adult hearing assessment.

International journal of audiology·2021

Same author

The Impact of Respiratory Symptoms on Healthcare Utilisation: The Primary and Secondary Care Interface.

Primary care respiratory journal : journal of the General Practice Airways Group·2019

Same author

Identifying pan-European management goals for asthma: Participatory action research study.

Primary care respiratory journal : journal of the General Practice Airways Group·2019

Same author

Does BCG vaccination protect against childhood asthma? Final results from the Manchester Community Asthma Study retrospective cohort study and updated systematic review and meta-analysis.

The Journal of allergy and clinical immunology·2013

Same author

Prevalence of respiratory symptoms at two time points in a population of children in Manchester--a cohort study.

BMJ open·2012

Same author

Temporal change in health-related quality of life: a longitudinal study in general practice 1999-2004.

The British journal of general practice : the journal of the Royal College of General Practitioners·2009

This study validates a neural network system for ranking asthma probability using questionnaire data. The system accurately identifies individuals likely to have asthma, aiding in efficient healthcare screening.

Area of Science:

Pulmonary Medicine
Artificial Intelligence
Epidemiology

Background:

A previously developed neural network system ranks populations by asthma probability using postal questionnaire data.
Individuals exceeding a specific screening threshold receive clinical review.

Purpose of the Study:

To validate the neural network system's performance in a new population.
To assess the system's accuracy in predicting asthma probability and positive predictive value (PPV).

Main Methods:

The system ranked community survey respondents by asthma probability.
Positive predictive value (PPV) was predicted for thresholds from 1% to 10%.
Respondents in the top 10% underwent clinical review to confirm asthma status.

Related Experiment Videos

Main Results:

The system successfully ranked individuals by asthma probability, with higher thresholds yielding fewer new cases.
The top 1% of ranked individuals were all confirmed asthmatics; 91% of the top 5% and 83% of the top 10% were asthmatic.
Actual PPV generally slightly exceeded system predictions.

Conclusions:

The validated neural network system effectively ranks populations by asthma probability.
The system provides conservative PPV estimates, useful for healthcare resource planning in asthma screening programs.