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Text Processing

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LHNCBC's NLP R&D improves search and retrieval and facilitates discovery through advances in analyzing biomedical texts, graphical presentation of results, and multi-language search.

Projects

Automated Indexing Research

The Indexing Initiative (II) project investigates language-based and machine learning methods for the automatic selection of subject headings for use in both semi-automated and fully automated indexing environments at NLM. Its major goal is to facilitate the retrieval of biomedical information from textual databases such as MEDLINE.

BabelMeSH and PICO Linguist

BabelMeSH and PICO (Patient, Intervention, Comparison, and Outcome) Linguist are multi-language tools for searching MEDLINE/PubMed. Thirteen languages, including character-based languages, are supported. Recent enhancements include a query using more than one language and retrieving citations in more than one language.

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Consumer Health Question Answering

The consumer health question answering project was launched to support NLM customer services that receive about 90,000 requests a year from a world-wide pool of customers.

De-Identification Tools

Computational de-identification seeks to remove all of the identifiers in such narrative text in order to produce de-identified documents that can be used in research while protecting patient privacy.

InfoBOT

This system automatically augments a patient's Electronic Health Record (EHR) with pertinent information from NLM resources. The software runs as background agents, both at a hospital and at NLM. The hospital uses our APIs to integrate the search setup and to display and store results in their existing EHR system.

Lexical Systems & Tools (SPECIALIST)

LHNCBC's Lexical Systems Group develops and maintains the SPECIALIST lexicon and the tools that support and exploit it. The SPECIALIST Lexicon and NLP Tools are at the center of NLM's natural language research, providing a foundation for all our natural language processing efforts.

OpenI logo

Open-i

The Open-ism (pronounced “open eye”) experimental multimedia search engine retrieves and displays structured MEDLINE citations augmented by image-related text and concepts and linked to images based on image features.

Pubmed for Handhelds image including handheld devices, a stethoscope, and an open book.

PubMed for Handhelds

PubMed for Handhelds research brings medical information to the point of care via devices like smartphones. This includes developing algorithms and public-domain tools for searching by text message (askMEDLINE and txt2MEDLINE), applying clinical filters (PICO) and viewing summary abstracts (The Bottom Line and Consensus Abstracts) in MEDLINE/PubMed, and evaluating the use of these tools in Clinical Decision Support.

Repository for Informed Decision Making (RIDeM)

RIDeM provides access to key facts needed to support clinical decision making. The facts are extracted from biomedical literature and clinical text sources. The development of the Repository is guided by the Evidence Based Medicine (EBM) principles for finding and appraising information.