AIMC Topic: Information Storage and Retrieval

Clear Filters Showing 621 to 630 of 738 articles

PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to s...

The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts.

The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task track 3, focused on medical concept normalization (MCN) in clinical records. This track aimed to assess the state of the art...

Data for registry and quality review can be retrospectively collected using natural language processing from unstructured charts of arthroplasty patients.

The bone & joint journal
AIMS: Natural Language Processing (NLP) offers an automated method to extract data from unstructured free text fields for arthroplasty registry participation. Our objective was to investigate how accurately NLP can be used to extract structured clini...

Use of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies.

Studies in health technology and informatics
Having precise information about health IT evaluation studies is important for evidence-based decisions in medical informatics. In a former feasibility study, we used a faceted search based on ontological modeling of key elements of studies to retrie...

Semiautomated Approach for Muscle Weakness Detection in Clinical Texts.

Studies in health technology and informatics
The automated detection of adverse events in medical records might be a cost-effective solution for patient safety management or pharmacovigilance. Our group proposed an information extraction algorithm (IEA) for detecting adverse events in neurosurg...

The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.

Studies in health technology and informatics
Recent studies in the biomedical domain suggest that learning statistical word representations (static or contextualized word embeddings) on large corpora of specialized data improve the results on downstream natural language processing (NLP) tasks. ...

Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground Truth.

Studies in health technology and informatics
In this paper, we present and discuss two new measures of inter- and intra-rater agreement to assess the reliability of the raters, and hence of their labeling, in multi-rater setings, which are common in the production of ground truth for machine le...

Evaluation of Document Retrieval Systems on a Medical Corpus in French: Indexation vs. Feature Learning.

Studies in health technology and informatics
This paper presents five document retrieval systems for a small (few thousands) and domain specific corpora (weekly peer-reviewed medical journals published in French) as well as an evaluation methodology to quantify the models performance. The propo...

GlyGen data model and processing workflow.

Bioinformatics (Oxford, England)
SUMMARY: Glycoinformatics plays a major role in glycobiology research, and the development of a comprehensive glycoinformatics knowledgebase is critical. This application note describes the GlyGen data model, processing workflow and the data access i...