Implication of excessive length of stay of asthma patient with heterogenous status attributed to air pollution.

ABSTRACT:

Objective

Air pollution has potential risk on asthma patients, further prolongs the length of stay. However, it is unclear that the impact of air pollution on excessive length of stay (ELoS) of heterogeneous asthma patients. In this study, we proposed a K-Nearest Neighbor (KNN) embedded approach incorporating with patient status to analyze the impact of short-term air pollution on the ELoS of asthma patients.

Methods

The KNN embedded approach includes two stages. Firstly, the KNN algorithm was employed to search for the most similar patient community and approximate kernel proxy of each index patient by Euclidean distance. Then, we built the differential fixed-effect linear model to estimate the risk of air pollution to the ELoS.

Results

We analyzed 6563 asthma patien

SUBMITTER: Yong Z 

PROVIDER: S-EPMC8172679 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature