Predicting low cognitive ability at age 5 using machine learning methods and birth cohort data

Fergus Mccarthy

doi:10.1093/eurpub/ckac131.422

Predicting low cognitive ability at age 5 using machine learning methods and birth cohort data

Fergus Mccarthy

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	European Journal of Public Health
DOIs	https://doi.org/10.1093/eurpub/ckac131.422
Publication status	Published - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cohort
Population
Intelligence quotient
Random forest
Machine learning
Artificial intelligence
Medicine
Cohort study
Cognition
Computer science
Psychiatry
Environmental health
Pathology
Internal medicine

Access to Document

10.1093/eurpub/ckac131.422

https://openalex.org/W4307382845Licence: CC BY

University College Cork Researcher Reports Research in Machine Learning (Predicting low cognitive ability at age 5 using machine learning methods and birth cohort data)
Mccarthy, F., Lightbody, G., Murray, D. & Mccarthy, F.
14/11/22
1 item of Media coverage
Press/Media

Cite this

@article{65788155c864471f9e9d66b0199da664,

title = "Predicting low cognitive ability at age 5 using machine learning methods and birth cohort data",

keywords = "Cohort, Population, Intelligence quotient, Random forest, Machine learning, Artificial intelligence, Medicine, Cohort study, Cognition, Computer science, Psychiatry, Environmental health, Pathology, Internal medicine",

author = "Fergus Mccarthy",

year = "2022",

doi = "10.1093/eurpub/ckac131.422",

language = "English",

journal = "European Journal of Public Health",

issn = "1101-1262",

publisher = "Oxford University Press",

}

TY - JOUR

T1 - Predicting low cognitive ability at age 5 using machine learning methods and birth cohort data

AU - Mccarthy, Fergus

PY - 2022

Y1 - 2022

KW - Cohort

KW - Population

KW - Intelligence quotient

KW - Random forest

KW - Machine learning

KW - Artificial intelligence

KW - Medicine

KW - Cohort study

KW - Cognition

KW - Computer science

KW - Psychiatry

KW - Environmental health

KW - Pathology

KW - Internal medicine

U2 - 10.1093/eurpub/ckac131.422

DO - 10.1093/eurpub/ckac131.422

M3 - Article

SN - 1101-1262

JO - European Journal of Public Health

JF - European Journal of Public Health

ER -

Predicting low cognitive ability at age 5 using machine learning methods and birth cohort data

UN SDGs

Keywords

Access to Document

Press/Media

University College Cork Researcher Reports Research in Machine Learning (Predicting low cognitive ability at age 5 using machine learning methods and birth cohort data)

Cite this