OP III – 4 Exposure assessment models for no2 and pm2.5 in the elapse study: a comparison of supervised linear regression and machine learning approaches

Jie Chen; Kees de Hoogh; Maciek Strak; Jules Kerckhoffs; Roel Vermeulen; Bert Brunekreef; Gerard Hoek

doi:10.1136/oemed-2018-iseeabstracts.14

OP III – 4 Exposure assessment models for no2 and pm2.5 in the elapse study: a comparison of supervised linear regression and machine learning approaches

Jie Chen, Kees de Hoogh, Maciek Strak, Jules Kerckhoffs, Roel Vermeulen, Bert Brunekreef, Gerard Hoek

Landdegradatie en aardobservatie

Research output: Contribution to conference › Paper › Academic

Original language	English
DOIs	https://doi.org/10.1136/oemed-2018-iseeabstracts.14
Publication status	Published - Mar 2018

Access to Document

10.1136/oemed-2018-iseeabstracts.14

Cite this

@conference{41d7d1204fcb48d9abf36caa5e3f3b18,

title = "OP III – 4 Exposure assessment models for no2 and pm2.5 in the elapse study: a comparison of supervised linear regression and machine learning approaches",

author = "Jie Chen and Hoogh, {Kees de} and Maciek Strak and Jules Kerckhoffs and Roel Vermeulen and Bert Brunekreef and Gerard Hoek",

year = "2018",

month = mar,

doi = "10.1136/oemed-2018-iseeabstracts.14",

language = "English",

}

TY - CONF

T1 - OP III – 4 Exposure assessment models for no2 and pm2.5 in the elapse study: a comparison of supervised linear regression and machine learning approaches

AU - Chen, Jie

AU - Hoogh, Kees de

AU - Strak, Maciek

AU - Kerckhoffs, Jules

AU - Vermeulen, Roel

AU - Brunekreef, Bert

AU - Hoek, Gerard

PY - 2018/3

Y1 - 2018/3

U2 - 10.1136/oemed-2018-iseeabstracts.14

DO - 10.1136/oemed-2018-iseeabstracts.14

M3 - Paper

ER -