AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Terminology as Topic

Showing 91 to 100 of 190 articles

Clear Filters

MELLO: Medical lifelog ontology for data terms from self-tracking and lifelog devices.

International journal of medical informatics
OBJECTIVE: The increasing use of health self-tracking devices is making the integration of heterogeneous data and shared decision-making more challenging. Computational analysis of lifelog data has been hampered by the lack of semantic and syntactic ...

Normalizing clinical terms using learned edit distance patterns.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Variations of clinical terms are very commonly encountered in clinical texts. Normalization methods that use similarity measures or hand-coded approximation rules for matching clinical terms to standard terminologies have limited accuracy...

Perspectives on next steps in classification of oro-facial pain - part 1: role of ontology.

Journal of oral rehabilitation
The purpose of this study was to review existing principles of oro-facial pain classifications and to specify design recommendations for a new system that would reflect recent insights in biomedical classification systems, terminologies and ontologie...

A tuberculosis ontology for host systems biology.

Tuberculosis (Edinburgh, Scotland)
A major hurdle facing tuberculosis (TB) investigators who want to utilize a rapidly growing body of data from both systems biology approaches and omics technologies is the lack of a standard vocabulary for data annotation and reporting. Lacking a mea...

The Human Phenotype Ontology: Semantic Unification of Common and Rare Disease.

American journal of human genetics
The Human Phenotype Ontology (HPO) is widely used in the rare disease community for differential diagnostics, phenotype-driven analysis of next-generation sequence-variation data, and translational research, but a comparable resource has not been ava...

Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2.

Applied clinical informatics
UNLABELLED: Nationwide Children's Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder cohort identification. Discrete data were gleaned from semistructured sleep study reports. The system sh...

A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To create a multilingual gold-standard corpus for biomedical concept recognition.

Self-training in significance space of support vectors for imbalanced biomedical event data.

BMC bioinformatics
BACKGROUND: Pairwise relationships extracted from biomedical literature are insufficient in formulating biomolecular interactions. Extraction of complex relations (namely, biomedical events) has become the main focus of the text-mining community. How...

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 ...

Semantic similarity measurement between gene ontology terms based on exclusively inherited shared information.

Gene
Quantifying the semantic similarities between pairs of terms in the Gene Ontology (GO) structure can help to explore the functional relationships between biological entities. A common approach to this problem is to measure the information they have i...