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Article

Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature.

Journal of the American Medical Informatics Association : JAMIA - 1 Jul 2016

Singhal Ayush, Simmons Michael, Lu Zhiyong

Abstract excerpt

OBJECTIVE: Identifying disease-mutation relationships is a significant challenge in the advancement of precision medicine. The aim of this work is to design a tool that automates the extraction of disease-related mutations from biomedical text to advance database curation for the support of precision medicine. MATERIALS AND METHODS: We developed a machine-learning (ML) based method to automatically identify the...

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Identifiers

PMID: 27121612
DOI: 10.1093/jamia/ocw041
PMCID: PMC4926749

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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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