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Article

Text analysis framework for identifying mutations among non-small cell lung cancer patients from laboratory data.

BMC medical research methodology - 11 Mar 2024

Yusuf Amman, Boyne Devon J, O'Sullivan Dylan E, Brenner Darren R, Cheung Winson Y, Mirza Imran, Jarada Tamer N

Abstract excerpt

BACKGROUND: Laboratory data can provide great value to support research aimed at reducing the incidence, prolonging survival and enhancing outcomes of cancer. Data is characterized by the information it carries and the format it holds. Data captured in Alberta's biomarker laboratory repository is free text, cluttered and rouge. Such data format limits its utility and prohibits broader adoption and research...

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Source

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Identifiers

PMID: 38468224
DOI: 10.1186/s12874-024-02192-8
PMCID: PMC10926579

Genes

EGFR

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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