About: ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews
Creator	De Boer, Jan De Bruin, Jonathan Fang, Qixiang Ferdinands, Gerbrich Harkema, Albert Hoogerwerf, Maarten Huijts, Martijn Kramer, Bianca Ma, Yongchao Oberski, Daniel Schram, Raoul Tummers, Lars Van De Schoot, Rens Weijdema, Felix Willemsen, Joukje Zahedi, Parisa
Source	ArXiv
abstract	For many tasks - including guideline development for medical doctors and systematic reviews for research fields - the scientific literature needs to be checked systematically. The current practice is that scholars and practitioners screen thousands of studies by hand to find which studies to include in their review. This is error prone and inefficient. We therefore developed an open source machine learning (ML)-aided pipeline: Active learning for Systematic Reviews (ASReview). We show that by using active learning, ASReview can lead to far more efficient reviewing than manual reviewing, while exhibiting adequate quality. Furthermore, the presented software is fully transparent and open source.
has issue date	2020-06-22(xsd:dateTime)
has license	arxiv
sha1sum (hex)	a21323713568df316ae130516e43e440e221f3f5
resource representing a document's title	ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews
resource representing a document's body	covid:a21323713568df316ae130516e43e440e221f3f5#body_text
is schema:about of	named entity 'open source' named entity 'QUALITY' named entity 'INEFFICIENT' named entity 'OPEN' named entity 'PRESENTED' named entity 'INCLUDE' named entity 'EXHIBITING' named entity 'INCLUDING' named entity 'REVIEWING' named entity 'systematic reviews' named entity 'transparent' named entity 'fields' named entity 'medical doctors' named entity 'open source' named entity 'research fields' named entity 'Open Source Software' named entity 'living reviews' named entity 'TF-IDF' named entity 'machine learning' named entity 'systematic reviews' named entity 'systematic review' named entity 'GDPR' named entity 'active learning' named entity 'recall and precision' named entity 'extracting data' named entity 'database' named entity 'user data' named entity 'database' named entity 'policy makers' named entity 'systematic review' named entity 'Active learning' named entity 'random sampling' named entity 'active learning' named entity 'feature extraction' named entity 'end users' named entity 'Systematic reviews' named entity 'systematic reviews' named entity 'black box' named entity 'Software' named entity 'binary classification' named entity 'Neural Networks' named entity 'machine learning' named entity 'support vector machine' named entity 'Feature extraction' named entity 'systematic reviews' named entity 'sampling' named entity 'active learning' named entity 'Doc2vec' named entity 'user data' named entity 'IDF' named entity 'systematic review' named entity 'data extraction' named entity 'data points' named entity 'systematic reviews' named entity 'Utrecht University' named entity 'Naive Bayes' named entity 'training data' named entity 'search results' named entity 'random sampling' named entity 'Open Science' named entity 'undersampling' named entity 'Naive Bayes' named entity 'field of study' named entity 'machine learning' named entity 'user experience' named entity 'systematic reviews' named entity 'meta-data' named entity '95%' named entity 'TF-IDF' named entity 'research field' named entity 'citation network' named entity 'systematic review'

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