AIMC Topic: Review Literature as Topic

Clear Filters Showing 21 to 30 of 47 articles

Machine learning with the hierarchy-of-hypotheses (HoH) approach discovers novel pattern in studies on biological invasions.

Research synthesis methods Aug 5, 2019
Research synthesis on simple yet general hypotheses and ideas is challenging in scientific disciplines studying highly context-dependent systems such as medical, social, and biological sciences. This study shows that machine learning, equation-free s...
Models, Statistical Decision Trees Data Interpretation, Statistical Reproducibility of Results Animals Ecosystem Asia Geography Introduced Species Review Literature as Topic Biology Ecology Artificial Intelligence Machine Learning Algorithms Research Design
View on PubMed DOI

Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms.

Journal of medical Internet research Nov 12, 2018
BACKGROUND: An increasing number of doctor reviews are being generated by patients on the internet. These reviews address a diverse set of topics (features), including wait time, office staff, doctor's skills, and bedside manners. Most previous work ...
Humans Machine Learning Quality Indicators, Health Care Internet Algorithms Review Literature as Topic Attitude Physicians Patient Reported Outcome Measures Language
View on PubMed DOI

Prioritising references for systematic reviews with RobotAnalyst: A user study.

Research synthesis methods Jul 30, 2018
Screening references is a time-consuming step necessary for systematic reviews and guideline development. Previous studies have shown that human effort can be reduced by using machine learning software to prioritise large reference collections such t...
Retrospective Studies Reproducibility of Results Cluster Analysis Machine Learning Software Algorithms Data Mining Data Interpretation, Statistical Switzerland Review Literature as Topic Humans
View on PubMed DOI

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...
Information Storage and Retrieval Subject Headings Evidence-Based Medicine Search Engine Databases, Bibliographic Randomized Controlled Trials as Topic Registries Review Literature as Topic ROC Curve Support Vector Machine Humans Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI

Living systematic reviews: 2. Combining human and machine effort.

Journal of clinical epidemiology Sep 11, 2017
New approaches to evidence synthesis, which use human effort and machine automation in mutually reinforcing ways, can enhance the feasibility and sustainability of living systematic reviews. Human effort is a scarce and valuable resource, required wh...
Evidence-Based Medicine Machine Learning Review Literature as Topic Data Mining Humans
View on PubMed DOI

Machine Learning Versus Standard Techniques for Updating Searches for Systematic Reviews: A Diagnostic Accuracy Study.

Annals of internal medicine Jun 13, 2017
Humans Machine Learning Algorithms Osteoporosis Review Literature as Topic PubMed Antipsychotic Agents Off-Label Use
View on PubMed DOI

Improving Endpoint Detection to Support Automated Systematic Reviews.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Authors of biomedical articles use comparison sentences to communicate the findings of a study, and to compare the results of the current study with earlier studies. The Claim Framework defines a comparison claim as a sentence that includes at least ...
Natural Language Processing Publications Meta-Analysis as Topic Animals Humans Review Literature as Topic Linguistics Diabetes Mellitus Biomedical Research Support Vector Machine
View on PubMed

RevManHAL: towards automatic text generation in systematic reviews.

Systematic reviews Feb 9, 2017
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...
Natural Language Processing Review Literature as Topic Abstracting and Indexing Humans Software
View on PubMed DOI

Topic detection using paragraph vectors to support active learning in systematic reviews.

Journal of biomedical informatics Jun 10, 2016
Systematic reviews require expert reviewers to manually screen thousands of citations in order to identify all relevant articles to the review. Active learning text classification is a supervised machine learning approach that has been shown to signi...
Semantics Humans Classification Machine Learning Support Vector Machine Review Literature as Topic
View on PubMed DOI

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

Journal of biomedical semantics Jun 7, 2016
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...
Biomedical Research Abstracting and Indexing Cardiovascular Diseases Cardiovascular System Natural Language Processing Medicine in Literature Review Literature as Topic
View on PubMed DOI
Popular Topics
Recent Journals