Log in to save to my catalogue

PREDICTING MORTALITY IN ADULTS USING TRANSFORMERS: INSIGHTS FROM THE HEALTH AND RETIREMENT STUDY

PREDICTING MORTALITY IN ADULTS USING TRANSFORMERS: INSIGHTS FROM THE HEALTH AND RETIREMENT STUDY

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11688765

PREDICTING MORTALITY IN ADULTS USING TRANSFORMERS: INSIGHTS FROM THE HEALTH AND RETIREMENT STUDY

About this item

Full title

PREDICTING MORTALITY IN ADULTS USING TRANSFORMERS: INSIGHTS FROM THE HEALTH AND RETIREMENT STUDY

Publisher

US: Oxford University Press

Journal title

Innovation in aging, 2024-12, Vol.8 (Supplement_1), p.174-174

Language

English

Formats

Publication information

Publisher

US: Oxford University Press

Subjects

Subjects and topics

More information

Scope and Contents

Contents

We introduce a natural language processing (NLP)-based prediction model to predict next-wave mortality in respondents from the US-based Health and Retirement Study (HRS). Akin to how NLP models can be used to predict future words in a sentence, we use a transformer architecture to build embeddings of a respondent’s demographic, social, behavioral,...

Alternative Titles

Full title

PREDICTING MORTALITY IN ADULTS USING TRANSFORMERS: INSIGHTS FROM THE HEALTH AND RETIREMENT STUDY

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11688765

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11688765

Other Identifiers

ISSN

2399-5300

E-ISSN

2399-5300

DOI

10.1093/geroni/igae098.0559

How to access this item