AI Medical Compendium Topic:
Information Storage and Retrieval

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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...

The BioTop Family of Upper Level Ontological Resources for Biomedicine.

Studies in health technology and informatics
BioTop is a domain upper level ontology for the life sciences, based on OWL DL, introduced ten years ago. This paper provides an update of the current state of this resource, with a special focus on BioTop's top level, BioTopLite, which currently con...

HTP-NLP: A New NLP System for High Throughput Phenotyping.

Studies in health technology and informatics
Secondary use of clinical data for research requires a method to quickly process the data so that researchers can quickly extract cohorts. We present two advances in the High Throughput Phenotyping NLP system which support the aim of truly high throu...