AIMC Topic: Abstracting and Indexing

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Automatic MeSH Indexing: Revisiting the Subheading Attachment Problem.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
This year less than 200 National Library of Medicine indexers expect to index 1 million articles, and this would not be possible without the assistance of the Medical Text Indexer (MTI) system. MTI is an automated indexing system that provides MeSH m...
Machine Learning United States Natural Language Processing Humans Neural Networks, Computer Medical Subject Headings National Library of Medicine (U.S.) Unified Medical Language System Abstracting and Indexing MEDLINE
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Natural language processing was effective in assisting rapid title and abstract screening when updating systematic reviews.

Journal of clinical epidemiology Jan 21, 2021
BACKGROUND AND OBJECTIVE: To examine whether the use of natural language processing (NLP) technology is effective in assisting rapid title and abstract screening when updating a systematic review.
Humans Systematic Reviews as Topic Machine Learning Models, Theoretical Information Storage and Retrieval Algorithms Natural Language Processing Abstracting and Indexing
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Toward automatic evaluation of medical abstracts: The current value of sentiment analysis and machine learning for classification of the importance of PubMed abstracts of randomized trials for stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 23, 2020
BACKGROUND: Text mining with automatic extraction of key features is gaining increasing importance in science and particularly medicine due to the rapidly increasing number of publications.
Pattern Recognition, Automated Data Mining Humans Abstracting and Indexing Machine Learning Randomized Controlled Trials as Topic PubMed Deep Learning
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A High Recall Classifier for Selecting Articles for MEDLINE Indexing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
MEDLINE is the National Library of Medicine's premier bibliographic database for biomedical literature. A highly valuable feature of the database is that each record is manually indexed with a controlled vocabulary called MeSH. Most MEDLINE journals ...
Medical Subject Headings United States Neural Networks, Computer Abstracting and Indexing National Library of Medicine (U.S.) MEDLINE Machine Learning
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Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study.

Systematic reviews Nov 15, 2019
BACKGROUND: Web applications that employ natural language processing technologies to support systematic reviewers during abstract screening have become more common. The goal of our project was to conduct a case study to explore a screening approach t...
Abstracting and Indexing Systematic Reviews as Topic Internet Information Storage and Retrieval Sensitivity and Specificity Natural Language Processing Software Humans Reproducibility of Results
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Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools.

Systematic reviews Nov 15, 2019
BACKGROUND: We explored the performance of three machine learning tools designed to facilitate title and abstract screening in systematic reviews (SRs) when used to (a) eliminate irrelevant records (automated simulation) and (b) complement the work o...
Workload Information Storage and Retrieval Abstracting and Indexing Time Factors Systematic Reviews as Topic Humans Software Reproducibility of Results Machine Learning
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Distant supervision for treatment relation extraction by leveraging MeSH subheadings.

Artificial intelligence in medicine Jun 7, 2019
The growing body of knowledge in biomedicine is too vast for human consumption. Hence there is a need for automated systems able to navigate and distill the emerging wealth of information. One fundamental task to that end is relation extraction, wher...
Humans Area Under Curve Data Mining Medical Subject Headings Supervised Machine Learning Semantics Crowdsourcing Abstracting and Indexing PubMed
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Biomedical semantic indexing by deep neural network with multi-task learning.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Biomedical semantic indexing is important for information retrieval and many other research fields in bioinformatics. It annotates biomedical citations with Medical Subject Headings. In face of unbalanced category distribution in the trai...
Deep Learning Semantics Abstracting and Indexing Humans Neural Networks, Computer Algorithms
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SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.

BMC bioinformatics Nov 6, 2018
BACKGROUND: Despite a wide adoption of English in science, a significant amount of biomedical data are produced in other languages, such as French. Yet a majority of natural language processing or semantic tools as well as domain terminologies or ont...
Gene Expression Profiling MEDLINE Natural Language Processing France Semantics Health Records, Personal Humans Biological Ontologies Abstracting and Indexing Data Analysis Information Storage and Retrieval Medical Informatics
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Recent advances in extracting and processing rich semantics from medical texts.

Artificial intelligence in medicine Aug 3, 2018
Semantics Natural Language Processing Abstracting and Indexing
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