Predicting asthma attacks in New Zealand using machine learning

Widana Kankanamge Darsha Jayamini; Farhaan Mirza; M. Asif Naeem; Amy Hai Yan Chan; Andrew Tomlin; Holly Tibble; Kebede Beyene

doi:10.1183/13993003.congress-2024.PA783

Predicting asthma attacks in New Zealand using machine learning

Widana Kankanamge Darsha Jayamini, Farhaan Mirza, M. Asif Naeem, Amy Hai Yan Chan, Andrew Tomlin, Holly Tibble, Kebede Beyene

Pharmaceutical and Administrative Sciences Department

Research output: Contribution to conference › Paper › peer-review

Original language	English
Pages	PA783
DOIs	https://doi.org/10.1183/13993003.congress-2024.PA783
State	Published - Sep 14 2024

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10.1183/13993003.congress-2024.PA783

http://publications.ersnet.org/lookup/doi/10.1183/13993003.congress-2024.PA783

Cite this

@conference{2009b63200f04450850190114edf3e6f,

title = "Predicting asthma attacks in New Zealand using machine learning",

author = "Jayamini, {Widana Kankanamge Darsha} and Farhaan Mirza and Naeem, {M. Asif} and Chan, {Amy Hai Yan} and Andrew Tomlin and Holly Tibble and Kebede Beyene",

year = "2024",

month = sep,

day = "14",

doi = "10.1183/13993003.congress-2024.PA783",

language = "English",

pages = "PA783",

}

TY - CONF

T1 - Predicting asthma attacks in New Zealand using machine learning

AU - Jayamini, Widana Kankanamge Darsha

AU - Mirza, Farhaan

AU - Naeem, M. Asif

AU - Chan, Amy Hai Yan

AU - Tomlin, Andrew

AU - Tibble, Holly

AU - Beyene, Kebede

PY - 2024/9/14

Y1 - 2024/9/14

U2 - 10.1183/13993003.congress-2024.PA783

DO - 10.1183/13993003.congress-2024.PA783

M3 - Paper

SP - PA783

ER -