ArticleJournal of the American Medical Informatics Association : JAMIA2024
Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition.
Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Advancing Whole-Person Health through Informatics: A Narrative Review of Knowledge Resources for Complementary and Integrative Health.The Journal of nutrition · 2026Review
- A Chinese Named Entity Recognition Dataset for Intangible Cultural Heritage.Scientific data · 2026Article
- Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study.Journal of medical Internet research · 2025Article
- RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Article
- Learning to explain is a good biomedical few-shot learner.Bioinformatics (Oxford, England) · 2024Article
- RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature.Scientific reports · 2024Article
- Evaluating the Effectiveness of Complementary and Integrative Health Therapies in Preventing Postpartum Depression: A Target Trial Emulation Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- LLM Instruction-Example Adaptive Prompting (LEAP) Framework for Clinical Relation Extraction.medRxiv : the preprint server for health sciences · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectiveTo construct an exhaustive Complementary and Integrative Health (CIH) Lexicon (CIHLex) to help better represent the often underrepresented physical and psychological CIH approaches in standard terminologies, and to also apply state-of-the-art natural language processing (NLP) techniques to help recognize them in the biomedical literature. MATERIALS AND
methodsWe constructed the CIHLex by integrating various resources, compiling and integrating data from biomedical literature and relevant sources of knowledge. The Lexicon encompasses 724 unique concepts with 885 corresponding unique terms. We matched these concepts to the Unified Medical Language System (UMLS), and we developed and utilized BERT models comparing their efficiency in CIH named entity recognition to well-established models including MetaMap and CLAMP, as well as the large language model GPT3.5-turbo.
resultsOf the 724 unique concepts in CIHLex, 27.2% could be matched to at least one term in the UMLS. About 74.9% of the mapped UMLS Concept Unique Identifiers were categorized as "Therapeutic or Preventive Procedure." Among the models applied to CIH named entity recognition, BLUEBERT delivered the highest macro-average F1-score of 0.91, surpassing other models.
conclusionOur CIHLex significantly augments representation of CIH approaches in biomedical literature. Demonstrating the utility of advanced NLP models, BERT notably excelled in CIH entity recognition. These results highlight promising strategies for enhancing standardization and recognition of CIH terminology in biomedical contexts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.