AIMC Topic: Natural Language Processing

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Regular expression-based learning to extract bodyweight values from clinical notes.

Journal of biomedical informatics
BACKGROUND: Bodyweight related measures (weight, height, BMI, abdominal circumference) are extremely important for clinical care, research and quality improvement. These and other vitals signs data are frequently missing from structured tables of ele...

Multilingual part-of-speech tagging with weightless neural networks.

Neural networks : the official journal of the International Neural Network Society
Training part-of-speech taggers (POS-taggers) requires iterative time-consuming convergence-dependable steps, which involve either expectation maximization or weight balancing processes, depending on whether the tagger uses stochastic or neural appro...

Identifying named entities from PubMed for enriching semantic categories.

BMC bioinformatics
BACKGROUND: Controlled vocabularies such as the Unified Medical Language System (UMLS) and Medical Subject Headings (MeSH) are widely used for biomedical natural language processing (NLP) tasks. However, the standard terminology in such collections s...

OTO: Ontology Term Organizer.

BMC bioinformatics
BACKGROUND: The need to create controlled vocabularies such as ontologies for knowledge organization and access has been widely recognized in various domains. Despite the indispensable need of thorough domain knowledge in ontology construction, most ...

Huffman and linear scanning methods with statistical language models.

Augmentative and alternative communication (Baltimore, Md. : 1985)
Current scanning access methods for text generation in AAC devices are limited to relatively few options, most notably row/column variations within a matrix. We present Huffman scanning, a new method for applying statistical language models to binary...

Domain adaption of parsing for operative notes.

Journal of biomedical informatics
BACKGROUND: Full syntactic parsing of clinical text as a part of clinical natural language processing (NLP) is critical for a wide range of applications. Several robust syntactic parsers are publicly available to produce linguistic representations fo...

Using natural language processing to extract mammographic findings.

Journal of biomedical informatics
OBJECTIVE: Structured data on mammographic findings are difficult to obtain without manual review. We developed and evaluated a rule-based natural language processing (NLP) system to extract mammographic findings from free-text mammography reports.

Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study.

BMC medicine
BACKGROUND: Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing me...

OntoMate: a text-mining tool aiding curation at the Rat Genome Database.

Database : the journal of biological databases and curation
The Rat Genome Database (RGD) is the premier repository of rat genomic, genetic and physiologic data. Converting data from free text in the scientific literature to a structured format is one of the main tasks of all model organism databases. RGD spe...