AI Medical Compendium Topic

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

Abstracting and Indexing

Showing 41 to 50 of 50 articles

Clear Filters

Extracting Dependence Relations from Unstructured Medical Text.

Studies in health technology and informatics
Dependence relations among disease and risk factors are a key ingredient in risk modeling and decision support models. Currently such information is either provided by experts (costly and time consuming) or extracted from data (if available). The pub...

Identifying Clinical Study Types from PubMed Metadata: The Active (Machine) Learning Approach.

Studies in health technology and informatics
We examined a process for automating the classification of articles in MEDLINE aimed at minimising manual effort without sacrificing accuracy. From 22,808 articles pertaining to 19 antidepressants, 1000 were randomly selected and manually labelled ac...

Biomedical question answering using semantic relations.

BMC bioinformatics
BACKGROUND: The proliferation of the scientific literature in the field of biomedicine makes it difficult to keep abreast of current knowledge, even for domain experts. While general Web search engines and specialized information retrieval (IR) syste...

BiobankConnect: software to rapidly connect data elements for pooled analysis across biobanks using ontological and lexical indexing.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Pooling data across biobanks is necessary to increase statistical power, reveal more subtle associations, and synergize the value of data sources. However, searching for desired data elements among the thousands of available elements and h...

USI: a fast and accurate approach for conceptual document annotation.

BMC bioinformatics
BACKGROUND: Semantic approaches such as concept-based information retrieval rely on a corpus in which resources are indexed by concepts belonging to a domain ontology. In order to keep such applications up-to-date, new entities need to be frequently ...

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition.

BMC bioinformatics
BACKGROUND: This article provides an overview of the first BIOASQ challenge, a competition on large-scale biomedical semantic indexing and question answering (QA), which took place between March and September 2013. BIOASQ assesses the ability of syst...

A corpus of potentially contradictory research claims from cardiovascular research abstracts.

Journal of biomedical semantics
BACKGROUND: Research literature in biomedicine and related fields contains a huge number of claims, such as the effectiveness of treatments. These claims are not always consistent and may even contradict each other. Being able to identify contradicto...

Advanced literature analysis in a Big Data world.

Annals of the New York Academy of Sciences
Comprehensive data mining of the scientific literature has become an increasing challenge. To address this challenge, Elsevier's Pathway Studio software uses the techniques of natural language processing to systematically extract specific biological ...

RevManHAL: towards automatic text generation in systematic reviews.

Systematic reviews
BACKGROUND: Systematic reviews are a key part of healthcare evaluation. They involve important painstaking but repetitive work. A major producer of systematic reviews, the Cochrane Collaboration, employs Review Manager (RevMan) programme-a software w...