Simulation package used for simulating systematic reviews for my Master's thesis
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Updated
May 14, 2020 - Python
Simulation package used for simulating systematic reviews for my Master's thesis
The repository is part of the so-called, Mega-Meta study on reviewing factors contributing to substance use, anxiety, and depressive disorders. This repository contains the scripts for Post-Processing the screening results.
The code in this repository makes it possible to reproduce the results of my master thesis "Accelerating Systematic Reviews: Developing a Pipeline for Creating Enhanced Abstracts".
Hyperparameter-training for the Mega-Meta project
A convolutional neural network model plugin for ASReview
A visualiztaion library to create the plots for my thesis project asreview-thesis.
Scripts for the simulation study obtaining the average time to discovery performed on the Depression-data from the systematic review by Brouwer et al. (2019)
ASReview Classifer Model Extension with ensemble classifiers
Scripts for a simulation on the effect of dataset size on neural network performance for active learning applied to systematic reviewing
An extension for ASReview Lab to preprocess the dataset before importing in ASReview
Papers informations from top AI conferences
Scripts to run simulations in ASReview on systematic review data of risk analysis documents of the Medicine Information Centre of the Royal Dutch Pharmacists Association.
A model extension for ASReview. ASReview multilingual feature extractor is a feature extractor based on distiluse-base-multilingual-cased-v1.
A plugin for ASReview allowing for switching between models during runtime.
Repository containing data regarding research into switching models during classifing, and the use of CNNs
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