Scripts for simulation report on risk analyses of the KNMP

Gerbrich Ferdinands; Jonathan De Bruin; Sofie van den Brand; Ka-Chun Cheung; Suzan Gipmans; Rens Van de Schoot

doi:10.5281/zenodo.5771612

Scripts for simulation report on risk analyses of the KNMP

Gerbrich Ferdinands, Jonathan De Bruin, Sofie van den Brand, Ka-Chun Cheung, Suzan Gipmans, Rens Van de Schoot

Research output: Non-textual form › Software › Academic

Abstract

This repository contains scripts to run simulation studies to evaluate the performance of Active Learning to conduct systematic reviews for the Royal Dutch Pharmacists Association (Koninklijke Nederlandse Maatschappij ter bevordering der Pharmacie, KNMP in Dutch). Here, systematic reviews are conducted for the development of risk analysis documents for the Medicine Information Centre (Geneesmiddel Informatie Centrum, GIC in Dutch). This study was conducted as commissioned by and in cooperation with the KNMP.

Original language	English
Publisher	Zenodo
Media of output	Online
DOIs	https://doi.org/10.5281/zenodo.5771612
Publication status	Published - 2021

Keywords

artificial intelligence systematic review active learning medical guidelines text data risk analyses

Access to Document

10.5281/zenodo.5771612Licence: Other

2 Data set/Database
1 Article

An open source machine learning framework for efficient and transparent systematic reviews
Schoot, R. V. D., Bruin, J. D., Schram, R., Zahedi, P., Boer, J. D., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Hindriks, S., Tummers, L. & Oberski, D., Feb 2021, In: Nature Machine Intelligence. 3, 2, p. 125-133 9 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File
Results for Simulations of Risk Analysis Documents Medicine Information Centre from the Royal Dutch Pharmacists Association
Ferdinands, G., Gipmans, S., van den Brand, S., de Bruin, J., Cheung, K.-C. & van de Schoot, R., 2021
Research output: Non-textual form › Data set/Database › Academic

Open Access
Systematic Review Data for Risk Analysis Documents Medicine Information Centre from the Royal Dutch Pharmacists Association
Gipmans, S., Ferdinands, G., van den Brand, S., van de Schoot, R. & Cheung, K.-C., 2021
Research output: Non-textual form › Data set/Database › Academic

Open Access

Cite this

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title = "Scripts for simulation report on risk analyses of the KNMP",

abstract = "This repository contains scripts to run simulation studies to evaluate the performance of Active Learning to conduct systematic reviews for the Royal Dutch Pharmacists Association (Koninklijke Nederlandse Maatschappij ter bevordering der Pharmacie, KNMP in Dutch). Here, systematic reviews are conducted for the development of risk analysis documents for the Medicine Information Centre (Geneesmiddel Informatie Centrum, GIC in Dutch). This study was conducted as commissioned by and in cooperation with the KNMP.",

keywords = "artificial intelligence systematic review active learning medical guidelines text data risk analyses",

author = "Gerbrich Ferdinands and {De Bruin}, Jonathan and {van den Brand}, Sofie and Ka-Chun Cheung and Suzan Gipmans and {Van de Schoot}, Rens",

year = "2021",

doi = "10.5281/zenodo.5771612",

language = "English",

publisher = "Zenodo",

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AU - Ferdinands, Gerbrich

AU - De Bruin, Jonathan

AU - van den Brand, Sofie

AU - Cheung, Ka-Chun

AU - Gipmans, Suzan

AU - Van de Schoot, Rens

PY - 2021

Y1 - 2021

N2 - This repository contains scripts to run simulation studies to evaluate the performance of Active Learning to conduct systematic reviews for the Royal Dutch Pharmacists Association (Koninklijke Nederlandse Maatschappij ter bevordering der Pharmacie, KNMP in Dutch). Here, systematic reviews are conducted for the development of risk analysis documents for the Medicine Information Centre (Geneesmiddel Informatie Centrum, GIC in Dutch). This study was conducted as commissioned by and in cooperation with the KNMP.

AB - This repository contains scripts to run simulation studies to evaluate the performance of Active Learning to conduct systematic reviews for the Royal Dutch Pharmacists Association (Koninklijke Nederlandse Maatschappij ter bevordering der Pharmacie, KNMP in Dutch). Here, systematic reviews are conducted for the development of risk analysis documents for the Medicine Information Centre (Geneesmiddel Informatie Centrum, GIC in Dutch). This study was conducted as commissioned by and in cooperation with the KNMP.

KW - artificial intelligence systematic review active learning medical guidelines text data risk analyses

U2 - 10.5281/zenodo.5771612

DO - 10.5281/zenodo.5771612

M3 - Software

PB - Zenodo

ER -

Scripts for simulation report on risk analyses of the KNMP

Abstract

Keywords

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Research output

An open source machine learning framework for efficient and transparent systematic reviews

Results for Simulations of Risk Analysis Documents Medicine Information Centre from the Royal Dutch Pharmacists Association

Systematic Review Data for Risk Analysis Documents Medicine Information Centre from the Royal Dutch Pharmacists Association

Cite this