AIMC Topic: Natural Language Processing

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A Process for the Representation of openEHR ADL Archetypes in OWL Ontologies.

Studies in health technology and informatics
ADL is a formal language to express archetypes, independent of standards or domain. However, its specification is not precise enough in relation to the specialization and semantic of archetypes, presenting difficulties in implementation and a few ava...

Generating and Executing Complex Natural Language Queries across Linked Data.

Studies in health technology and informatics
With the recent and intensive research in the biomedical area, the knowledge accumulated is disseminated through various knowledge bases. Links between these knowledge bases are needed in order to use them jointly. Linked Data, SPARQL language, and i...

Harmonizing Nursing Terminologies.

Studies in health technology and informatics
In this paper, the authors report on a study aimed at harmonising two nursing terminologies, the Clinical Care Classification (CCC) and the International Classification for Nursing Practice (ICNP®). As the electronic health record evolves and the nee...

Towards Constructing a New Taxonomy for Psychiatry Using Self-reported Symptoms.

Studies in health technology and informatics
The Diagnostic and Statistical Manual (DSM) has served as the gold standard for psychiatric diagnosis for the past several decades in the USA, and DSM diagnoses mirror mental health and substance abuse diagnoses in ICD-9 and ICD-10. However, DSM diag...

Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations.

Studies in health technology and informatics
The massive accumulation of biomedical knowledge is reflected by the growth of the literature database MEDLINE with over 23 million bibliographic records. All records are manually indexed by MeSH descriptors, many of them refined by MeSH subheadings....

Conceptual Knowledge Discovery in Databases for Drug Combinations Predictions in Malignant Melanoma.

Studies in health technology and informatics
The worldwide incidence of melanoma is rising faster than any other cancer, and prognosis for patients with metastatic disease is poor. Current targeted therapies are limited in their durability and/or effect size in certain patient populations due t...

Automated Learning of Temporal Expressions.

Studies in health technology and informatics
Clinical notes contain important temporal information that are critical for making clinical diagnosis and treatment as well as for retrospective analyses. Manually created regular expressions are commonly used for the extraction of temporal informati...

An Approach for Automatic Classification of Radiology Reports in Spanish.

Studies in health technology and informatics
Automatic detection of relevant terms in medical reports is useful for educational purposes and for clinical research. Natural language processing (NLP) techniques can be applied in order to identify them. In this work we present an approach to class...

Identifying Patients with Depression Using Free-text Clinical Documents.

Studies in health technology and informatics
About 1 in 10 adults are reported to exhibit clinical depression and the associated personal, societal, and economic costs are significant. In this study, we applied the MTERMS NLP system and machine learning classification algorithms to identify pat...