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Dataset Information

Lifestyle factors in the biomedical literature: an ontology and comprehensive resources for named entity recognition.


ABSTRACT:

Motivation

Despite lifestyle factors (LSFs) being increasingly acknowledged in shaping individual health trajectories, particularly in chronic diseases, they have still not been systematically described in the biomedical literature. This is in part because no named entity recognition (NER) system exists, which can comprehensively detect all types of LSFs in text. The task is challenging due to their inherent diversity, lack of a comprehensive LSF classification for dictionary-based NER, and lack of a corpus for deep learning-based NER.

Results

We present a novel lifestyle factor ontology (LSFO), which we used to develop a dictionary-based system for recognition and normalization of LSFs. Additionally, we introduce a manually annotated corpus for LSFs (LSF200) suitable for tr

SUBMITTER: Nourani E 

PROVIDER: S-EPMC11543612 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature