AIMC Topic: Publications
Clear Filters Showing 141 to 150 of 157 articles
Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning-Based Text Generation.
Pain medicine (Malden, Mass.)
Nov 1, 2020
OBJECTIVE: Recent efforts to update the definitions and taxonomic structure of concepts related to pain have revealed opportunities to better quantify topics of existing pain research subject areas.
Chemical-protein interaction extraction via Gaussian probability distribution and external biomedical knowledge.
Bioinformatics (Oxford, England)
Aug 1, 2020
MOTIVATION: The biomedical literature contains a wealth of chemical-protein interactions (CPIs). Automatically extracting CPIs described in biomedical literature is essential for drug discovery, precision medicine, as well as basic biomedical researc...
Empirical assessment of bias in machine learning diagnostic test accuracy studies.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2020
OBJECTIVE: Machine learning (ML) diagnostic tools have significant potential to improve health care. However, methodological pitfalls may affect diagnostic test accuracy studies used to appraise such tools. We aimed to evaluate the prevalence and rep...
New tools aim to tame pandemic paper tsunami.
Science (New York, N.Y.)
May 29, 2020
Basics of Deep Learning: A Radiologist's Guide to Understanding Published Radiology Articles on Deep Learning.
Korean journal of radiology
Jan 1, 2020
Artificial intelligence has been applied to many industries, including medicine. Among the various techniques in artificial intelligence, deep learning has attained the highest popularity in medical imaging in recent years. Many articles on deep lear...
CoCoScore: context-aware co-occurrence scoring for text mining applications using distant supervision.
Bioinformatics (Oxford, England)
Jan 1, 2020
MOTIVATION: Information extraction by mining the scientific literature is key to uncovering relations between biomedical entities. Most existing approaches based on natural language processing extract relations from single sentence-level co-mentions,...
How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature.
JAMA
Nov 12, 2019
In recent years, many new clinical diagnostic tools have been developed using complicated machine learning methods. Irrespective of how a diagnostic tool is derived, it must be evaluated using a 3-step process of deriving, validating, and establishin...
Building deep learning models for evidence classification from the open access biomedical literature.
Database : the journal of biological databases and curation
Jan 1, 2019
We investigate the application of deep learning to biocuration tasks that involve classification of text associated with biomedical evidence in primary research articles. We developed a large-scale corpus of molecular papers derived from PubMed and P...
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