Description:
systematicreviewpy 0.0.1
An open-source Python framework for systematic review based on PRISMA : systematic-reviewpy
Citation
Introduction
Features
Installation
Contribution
Future Improvements
Introduction
The main objective of the Python framework is to automate systematic reviews to save reviewers time without creating
constraints that might affect the review quality. The other objective is to create an open-source and highly
customisable framework with options to use or improve any parts of the framework. python framework supports each step in
the systematic review workflow and suggests using checklists provided by Preferred Reporting Items for Systematic Reviews
and Meta-Analyses (PRISMA).
Authors
The packages systematic-reviewpy and
browser-automationpy are part of Research paper
An open-source Python framework for systematic review based on PRISMA created by Chandravesh chaudhari, Doctoral candidate at CHRIST (Deemed to be University), Bangalore, India under supervision of Dr. Geetanjali purswani.
Features
supported file types: ris, json, and pandas IO
supports the complete workflow for systematic reviews.
supports to combine multiple databases citations.
supports searching words with boolean conditions and filter based on counts.
browser automation using browser-automationpy
validation of downloaded articles.
contains natural language processing techniques such as stemming and lemmatisation for text mining.
sorting selected research papers based on database.
generating literature review excel or csv file.
automatically generates analysis tables and graphs.
automatically generates workflow diagram.
generate the ASReview supported file for Active-learning Screening
Significance
Saves time
Automate monotonous tasks
Never makes mistakes
Provides replicable results
Installation
This project is available at PyPI. For help in installation check
instructions
python3 -m pip install systematic-reviewpy
Dependencies
Required
rispy - A Python 3.6+ reader/writer of RIS reference files.
pandas - A Python package that provides fast, flexible, and expressive data
structures designed to make working with "relational" or "labeled" data both easy and intuitive.
Optional
browser-automationpy
pdftotext - Simple PDF text extraction
PyMuPDF - PyMuPDF (current version 1.19.2) - A Python binding with support for
MuPDF, a lightweight PDF, XPS, and E-book viewer, renderer, and toolkit.
Important links
[Documentation](documentation link)
[Quick tour](tutorial file link)
Project maintainer (feel free to contact)
Future Improvements
License
Contribution
all kinds of contributions are appreciated.
[Improving readability of documentation](documentation link)
Feature Request
Reporting bugs
Contribute code
Asking questions in discussions
Future Improvements
Graphical User Interface
Linux
Mac Os
Windows
Android
Ios App
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files:
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