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 -