AI Medical Compendium Topic

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Information Storage and Retrieval

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Exploring relation types for literature-based discovery.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Literature-based discovery (LBD) aims to identify "hidden knowledge" in the medical literature by: (1) analyzing documents to identify pairs of explicitly related concepts (terms), then (2) hypothesizing novel relations between pairs of un...

Measuring information transfer in a soft robotic arm.

Bioinspiration & biomimetics
Soft robots can exhibit diverse behaviors with simple types of actuation by partially outsourcing control to the morphological and material properties of their soft bodies, which is made possible by the tight coupling between control, body, and envir...

Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary.

BMC bioinformatics
BACKGROUND: Electronic medical record (EMR) systems have become widely used throughout the world to improve the quality of healthcare and the efficiency of hospital services. A bilingual medical lexicon of Chinese and English is needed to meet the de...

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.

Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Analysis of narrative (text) data from electronic health records (EHRs) can improve population-scale phenotyping for clinical and genetic research. Currently, selection of text features for phenotyping algorithms is slow and laborious, req...

Development of phenotype algorithms using electronic medical records and incorporating natural language processing.

BMJ (Clinical research ed.)
Electronic medical records are emerging as a major source of data for clinical and translational research studies, although phenotypes of interest need to be accurately defined first. This article provides an overview of how to develop a phenotype al...

Evaluating a pivot-based approach for bilingual lexicon extraction.

Computational intelligence and neuroscience
A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vectors represented by words in a pivot language like English. In this paper, in order to show validity and usability of the pivot-based approach, we evalua...

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...

Automated methods for the summarization of electronic health records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: This review examines work on automated summarization of electronic health record (EHR) data and in particular, individual patient record summarization. We organize the published research and highlight methodological challenges in the area...

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.

BMC medical informatics and decision making
BACKGROUND: Manual eligibility screening (ES) for a clinical trial typically requires a labor-intensive review of patient records that utilizes many resources. Leveraging state-of-the-art natural language processing (NLP) and information extraction (...