AIMC Topic: Information Storage and Retrieval

Clear Filters Showing 691 to 700 of 738 articles

A Semi-Automatic Framework to Identify Abnormal States in EHR Narratives.

Studies in health technology and informatics
Disease ontology, defined as a causal chain of abnormal states, is believed to be a valuable knowledge base in medical information systems. Automatic mapping between electronic health records (EHR) and disease ontology is indispensable for applying d...

An Ontology-Based Approach to Estimate the Frequency of Rare Diseases in Narrative-Text Radiology Reports.

Studies in health technology and informatics
This study sought to use ontology-based knowledge to identify patients with rare diseases and to estimate the frequency of those diseases in a large database of radiology reports. Natural language processing methods were applied to 12,377,743 narrari...

Aligned-Layer Text Search in Clinical Notes.

Studies in health technology and informatics
Search techniques in clinical text need to make fine-grained semantic distinctions, since medical terms may be negated, about someone other than the patient, or at some time other than the present. While natural language processing (NLP) approaches a...

Automatically Identifying Topics of Consumer Health Questions in Chinese.

Studies in health technology and informatics
In health question answering (QA) system development, question topic identification is crucial to understand users' information needs and further facilitate answer extraction. This paper presented a machine-learning method to automatically identify t...

Extracting Sexual Trauma Mentions from Electronic Medical Notes Using Natural Language Processing.

Studies in health technology and informatics
Patient history of sexual trauma is of clinical relevance to healthcare providers as survivors face adverse health-related outcomes. This paper describes a method for identifying mentions of sexual trauma within the free text of electronic medical no...

PubMedReco: A Real-Time Recommender System for PubMed Citations.

Studies in health technology and informatics
We present a recommender system, PubMedReco, for real-time suggestions of medical articles from PubMed, a database of over 23 million medical citations. PubMedReco can recommend medical article citations while users are conversing in a synchronous co...

Semantic Technologies and Bio-Ontologies.

Methods in molecular biology (Clifton, N.J.)
As information available through data repositories constantly grows, the need for automated mechanisms for linking, querying, and sharing data has become a relevant factor both in research and industry. This situation is more evident in research fiel...

Semantic Technologies for Re-Use of Clinical Routine Data.

Studies in health technology and informatics
Routine patient data in electronic patient records are only partly structured, and an even smaller segment is coded, mainly for administrative purposes. Large parts are only available as free text. Transforming this content into a structured and sema...

A Case Study on Sepsis Using PubMed and Deep Learning for Ontology Learning.

Studies in health technology and informatics
We investigate the application of distributional semantics models for facilitating unsupervised extraction of biomedical terms from unannotated corpora. Term extraction is used as the first step of an ontology learning process that aims to (semi-)aut...

HL7 FHIR: Ontological Reinterpretation of Medication Resources.

Studies in health technology and informatics
"A solid ontology-based analysis with a rigorous formal mapping for correctness" is one of the ten reasons why the HL7 standard Fast Healthcare Interoperability Resources (FHIR) is advertised to be better than other standards for EHR interoperability...