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cff-version: 1.2.0 | ||
title: ASReview LAB - A tool for AI-assisted systematic reviews | ||
message: >- | ||
If you use this software, please cite the software and Van | ||
de Schoot et al. (2021). | ||
https://doi.org/10.1038/s42256-020-00287-7 | ||
type: software | ||
authors: | ||
- given-names: ASReview LAB developers | ||
affiliation: Utrecht University | ||
email: asreview@uu.nl | ||
identifiers: | ||
- type: doi | ||
value: 10.1038/s42256-020-00287-7 | ||
description: >- | ||
van de Schoot, R., de Bruin, J., Schram, R. et al. An | ||
open source machine learning framework for efficient | ||
and transparent systematic reviews. Nat Mach Intell 3, | ||
125–133 (2021). | ||
repository-code: 'https://github.com/asreview/asreview' | ||
url: 'https://asreview.ai' | ||
repository-artifact: 'https://pypi.org/project/asreview/' | ||
abstract: >- | ||
The Active learning for Systematic Reviews (ASReview) | ||
project implements learning algorithms that interactively | ||
query the researcher. This way of interactive training is | ||
known as Active Learning. ASReview offers support for | ||
classical learning algorithms and state-of-the-art | ||
learning algorithms like neural networks. ASReview LAB is | ||
the graphical user interface of the open-source research | ||
software and ships with an Oracle, Exploration, and | ||
Simulation Mode. | ||
keywords: | ||
- systematic review | ||
- prisma | ||
- active learning | ||
- statistics | ||
- machine learning | ||
- text data | ||
- natural language processing | ||
- human-in-the-loop | ||
license: Apache-2.0 |