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

Keywords

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

UN SDGs

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

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

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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",

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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

Keywords

UN SDGs

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