Scripts, data and output to reproduce "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and a Noisy Label Filter Procedure"

Matthijs Oud; Rutger Neeleman; Cathalijn Leenaars; Rens van de Schoot; Felix Weijdema

doi:10.17605/osf.io/pjr97

Scripts, data and output to reproduce "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and a Noisy Label Filter Procedure"

Matthijs Oud, Rutger Neeleman, Cathalijn Leenaars, Rens van de Schoot, Felix Weijdema

Research output: Non-textual form › Data set/Database › Academic

Abstract

Here you can find the scripts, data and output to reproduce our study "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and Decision Tree". In this study, we reconstructed a database to perform a simulation study in ASReview. A solution for the problems faced is presented: the NLF procedure (noisy label filter).

Original language	English
Publisher	OSF
Media of output	Online
DOIs	https://doi.org/10.17605/osf.io/pjr97
Publication status	Published - 10 Dec 2022

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10.17605/osf.io/pjr97Licence: CC BY

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author = "Matthijs Oud and Rutger Neeleman and Cathalijn Leenaars and Schoot, {Rens van de} and Felix Weijdema",

year = "2022",

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AU - Oud, Matthijs

AU - Neeleman, Rutger

AU - Leenaars, Cathalijn

AU - Schoot, Rens van de

AU - Weijdema, Felix

PY - 2022/12/10

Y1 - 2022/12/10

N2 - Here you can find the scripts, data and output to reproduce our study "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and Decision Tree". In this study, we reconstructed a database to perform a simulation study in ASReview. A solution for the problems faced is presented: the NLF procedure (noisy label filter).

AB - Here you can find the scripts, data and output to reproduce our study "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and Decision Tree". In this study, we reconstructed a database to perform a simulation study in ASReview. A solution for the problems faced is presented: the NLF procedure (noisy label filter).

U2 - 10.17605/osf.io/pjr97

DO - 10.17605/osf.io/pjr97

M3 - Data set/Database

PB - OSF

ER -

Scripts, data and output to reproduce "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and a Noisy Label Filter Procedure"

Abstract

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