Active learning for systematic reviews
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Updated
May 17, 2024 - Python
Active learning for systematic reviews
Automatic synthesis of RCTs
LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook
A package to quickly visualise risk-of-bias assessment results
Information related to research material that can be used by postgraduate students
Workflow generator for simulation studies using the command line interface of ASReview LAB
Tool to preprocess datasets for ASReview
This repository contains open teaching materials on using ASReview
A tool for visualising geographical data in systematic maps
Artwork for the ASReview project
Web based systematic literature review software
Package to provide consistent evidence synthesis workflow in R
Extension that adds Covid-19 related datasets to ASReview
The repository aims to create an overview and comparison of software used for systematically screening large amounts of textual data using machine learning.
Access and search medRxiv and bioRxiv preprint data
A collection of Research Intelligence methods and workflows
ASReview extension to generate wordcloud from data files.
Simulations for the https://github.com/asreview/asreview
Written in python, for checking reference lists in systematic reviews and literature reviews, helps with reference list searching both backward&forward by extracting references and creating search queries, ranks articles by relevance to improve screening efficiency, download full-text pdf of research articles in batch.
Inter-rater quantifies the reliability between multiple raters who evaluate a group of subjects. It calculates the group quantity, Fleiss kappa, and it improves on existing software by keeping information about each user and quantifying how each user agreed with the rest of the group. This is accomplished through permutations of user pairs. The …
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