Active learning for systematic reviews
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Updated
Jun 2, 2024 - Python
Active learning for systematic reviews
Information related to research material that can be used by postgraduate students
Access and search medRxiv and bioRxiv preprint data
The application aims to automate the systematic review process, leveraging natural language processing (NLP), machine learning (ML), and data extraction techniques to streamline research design, literature review, and data synthesis.
Docker compose for setting up ASReview server with authentication
Welcome to Zheln! We build the world’s first evidence outlet. Methods repo: https://github.com/p1m-ortho/qs-global-ortho-search-queries
LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook
Node.js Electron GUI for Scraping the Google Play Store.
Workflow generator for simulation studies using the command line interface of ASReview LAB
Web based systematic literature review software
Artwork for the ASReview project
This repository contains open teaching materials on using ASReview
Active learning agent-based-simulation for systematic reviews and other types of technology assisted review (TAR) which will include PDF documents and other meta-datas in itself and it's based on both fulltext-screening decisions and title-screening decisions.
Tool to preprocess datasets for ASReview
[NeurIPS 2023] CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
Self-paced tutorial on the screening stage of a systematic-style review
Neal Haddaway's Photography and Research Website
[CIKM 2023] CRUISE search engine for conducting literature reviews
Author Bias Computation and Scientometric Plotting
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