AIMC Topic: Databases, Bibliographic

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Looking at the fringes of MedTech innovation: a mapping review of horizon scanning and foresight methods.

BMJ open Sep 14, 2023
OBJECTIVES: Horizon scanning (HS) is a method used to examine signs of change and may be used in foresight practice. HS methods used for the identification of innovative medicinal products cannot be applied in medical technologies (MedTech) due to di...
Databases, Factual Consensus Data Mining Databases, Bibliographic Humans Artificial Intelligence
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Article-level classification of scientific publications: A comparison of deep learning, direct citation and bibliographic coupling.

PloS one May 11, 2021
Classification schemes for scientific activity and publications underpin a large swath of research evaluation practices at the organizational, governmental, and national levels. Several research classifications are currently in use, and they require ...
Science Databases, Bibliographic Scholarly Communication Deep Learning Bibliographies as Topic Bibliometrics Publications
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Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews.

Journal of clinical epidemiology Nov 7, 2020
OBJECTIVES: This study developed, calibrated, and evaluated a machine learning classifier designed to reduce study identification workload in Cochrane for producing systematic reviews.
Algorithms Humans Randomized Controlled Trials as Topic Workload Machine Learning Systematic Reviews as Topic Information Storage and Retrieval Databases, Bibliographic
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Pathogenesis-based treatments in primary Sjogren's syndrome using artificial intelligence and advanced machine learning techniques: a systematic literature review.

Human vaccines & immunotherapeutics Jun 28, 2018
Big data analysis has become a common way to extract information from complex and large datasets among most scientific domains. This approach is now used to study large cohorts of patients in medicine. This work is a review of publications that have ...
Databases, Bibliographic Humans Machine Learning Data Analysis Big Data Natural Language Processing Sjogren's Syndrome
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Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide.

Research synthesis methods Feb 7, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this w...
Algorithms Reproducibility of Results Sensitivity and Specificity Humans Machine Learning Registries Review Literature as Topic Information Storage and Retrieval ROC Curve Support Vector Machine Randomized Controlled Trials as Topic Databases, Bibliographic Subject Headings Evidence-Based Medicine Search Engine
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The Default Mode Network in Healthy Individuals: A Systematic Review and Meta-Analysis.

Brain connectivity Jan 9, 2017
When the brain is not engaged in goal-directed activities and at rest, there are still measureable patterns of activity. One resting-state network, the default mode network (DMN) is responsible for a self-referential introspective state. There are ma...
Sex Factors Neural Pathways Databases, Bibliographic Cognition Magnetic Resonance Imaging Healthy Volunteers Humans Neural Networks, Computer Male Brain Image Processing, Computer-Assisted Female
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Advanced literature analysis in a Big Data world.

Annals of the New York Academy of Sciences Nov 10, 2016
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 ...
Bipolar Disorder Computational Biology United States Mass Screening Natural Language Processing Periodicals as Topic Animals Depressive Disorder, Major Anxiety Disorders Biomarkers Humans Prognosis Software Biomedical Research Translational Research, Biomedical Databases, Bibliographic Mental Disorders Abstracting and Indexing Schizophrenia National Institute of Mental Health (U.S.) Data Mining Database Management Systems
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Human Rights Texts: Converting Human Rights Primary Source Documents into Data.

PloS one Sep 29, 2015
We introduce and make publicly available a large corpus of digitized primary source human rights documents which are published annually by monitoring agencies that include Amnesty International, Human Rights Watch, the Lawyers Committee for Human Rig...
Documentation Natural Language Processing Databases, Bibliographic Humans Periodicals as Topic Algorithms Data Collection Human Rights
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Self-training in significance space of support vectors for imbalanced biomedical event data.

BMC bioinformatics Apr 23, 2015
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...
Terminology as Topic Databases, Bibliographic Humans Periodicals as Topic Data Mining Algorithms Models, Theoretical Information Storage and Retrieval Natural Language Processing
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Using Ontology Fingerprints to disambiguate gene name entities in the biomedical literature.

Database : the journal of biological databases and curation Apr 8, 2015
Ambiguous gene names in the biomedical literature are a barrier to accurate information extraction. To overcome this hurdle, we generated Ontology Fingerprints for selected genes that are relevant for personalized cancer therapy. These Ontology Finge...
Algorithms Data Mining Gene Ontology Databases, Bibliographic
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