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Article

Identification of Patients with Family History of Pancreatic Cancer--Investigation of an NLP System Portability.

Studies in health technology and informatics - 1 Jan 2015

Mehrabi Saeed, Krishnan Anand, Roch Alexandra M, Schmidt Heidi, Li DingCheng, Kesterson Joe, Beesley Chris, Dexter Paul, Schmidt Max, Palakal Mathew, Liu Hongfang

Abstract excerpt

In this study we have developed a rule-based natural language processing (NLP) system to identify patients with family history of pancreatic cancer. The algorithm was developed in a Unstructured Information Management Architecture (UIMA) framework and consisted of section segmentation, relation discovery, and negation detection. The system was evaluated on data from two institutions. The family history...

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Source

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Identifiers

PMID: 26262122
PMCID: PMC5863760

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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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