Predicting Health Risks of Adult Asthmatics Susceptible to Indoor Air Quality Using Improved Logistic and Quantile Regression Models

Predicting Health Risks of Adult Asthmatics Susceptible to Indoor Air Quality Using Improved Logistic and Quantile Regression Models

The increasing global patterns for asthma disease and its associated fiscal burden to healthcare systems demand a change to healthcare processes and the way asthma risks are managed. Patient-centered health care systems equipped with advanced sensing technologies can empower patients to participate...

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Bibliographic Details
Main Authors: Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Choon-Sik Park, Sungroul Kim, Joel Davidson
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Life
Subjects:
personalized asthma care
asthma risk prediction
exposome
indoor air quality
logistic regression
quantile regression
Online Access:https://www.mdpi.com/2075-1729/12/10/1631

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