AIMC Topic: Databases, Bibliographic

Clear Filters Showing 11 to 20 of 23 articles

Collating the knowledge base for core outcome set development: developing and appraising the search strategy for a systematic review.

BMC medical research methodology Mar 29, 2015
BACKGROUND: The COMET (Core Outcome Measures in Effectiveness Trials) Initiative is developing a publicly accessible online resource to collate the knowledge base for core outcome set development (COS) and the applied work from different health condi...
Information Storage and Retrieval Systematic Reviews as Topic Humans Knowledge Bases Databases, Bibliographic Reproducibility of Results
View on PubMed DOI

How Well Do AI-Enabled Decision Support Systems Perform in Clinical Settings?

Studies in health technology and informatics Jan 25, 2024
Real-world performance of machine learning (ML) models is crucial for safely and effectively embedding them into clinical decision support (CDS) systems. We examined evidence about the performance of contemporary ML-based CDS in clinical settings. A ...
Machine Learning Neural Networks, Computer Decision Support Systems, Clinical Databases, Bibliographic
View on PubMed DOI

ChatGPT-like AIs are coming to major science search engines.

Nature Aug 1, 2023
Natural Language Processing Research Report Search Engine Communication Databases, Bibliographic
View on PubMed DOI

Coronavirus Disease (COVID-19): A Machine Learning Bibliometric Analysis.

In vivo (Athens, Greece) Jun 1, 2020
BACKGROUND/AIM: To evaluate the research trends in coronavirus disease (COVID-19).
Machine Learning Pandemics COVID-19 Humans Research Support as Topic Coronavirus Infections Information Dissemination National Institutes of Health (U.S.) Pneumonia, Viral Databases, Bibliographic United States Research Bibliometrics China Publishing
View on PubMed DOI

A new approach and gold standard toward author disambiguation in MEDLINE.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: Author-centric analyses of fast-growing biomedical reference databases are challenging due to author ambiguity. This problem has been mainly addressed through author disambiguation using supervised machine-learning algorithms. Such algorit...
MEDLINE Reference Standards Crowdsourcing Algorithms Data Mining Databases, Bibliographic Machine Learning Authorship
View on PubMed DOI

Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2019
OBJECTIVE: Natural language processing (NLP) of symptoms from electronic health records (EHRs) could contribute to the advancement of symptom science. We aim to synthesize the literature on the use of NLP to process or analyze symptom information doc...
Data Mining Symptom Assessment Databases, Bibliographic Narration Natural Language Processing Algorithms Electronic Health Records Humans
View on PubMed DOI

Extraction of chemical-protein interactions from the literature using neural networks and narrow instance representation.

Database : the journal of biological databases and curation Jan 1, 2019
The scientific literature contains large amounts of information on genes, proteins, chemicals and their interactions. Extraction and integration of this information in curated knowledge bases help researchers support their experimental results, leadi...
Protein Interaction Maps Proteins Databases, Bibliographic Data Mining Deep Learning
View on PubMed DOI

Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: The aim of this work is to leverage relational information extracted from biomedical literature using a novel synthesis of unsupervised pretraining, representational composition, and supervised machine learning for drug safety monitoring.
Humans Natural Language Processing Drug-Related Side Effects and Adverse Reactions Data Mining Supervised Machine Learning Product Surveillance, Postmarketing Databases, Bibliographic Pharmacovigilance Semantics
View on PubMed DOI

Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
OBJECTIVES: Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. We aimed to make th...
Crowdsourcing Databases, Bibliographic Machine Learning Review Literature as Topic Information Storage and Retrieval Support Vector Machine Biomedical Research Randomized Controlled Trials as Topic ROC Curve Natural Language Processing
View on PubMed DOI

First steps in automatic summarization of transcription factor properties for RegulonDB: classification of sentences about structural domains and regulated processes.

Database : the journal of biological databases and curation Jan 1, 2017
RegulonDB, http://regulondb.ccg.unam.mx.
Databases, Bibliographic Regulon Serine Endopeptidases Escherichia coli K12 Support Vector Machine Transcription Factors Protein Domains
View on PubMed DOI
Popular Topics
Recent Journals