Data for: A systematic review showed no performance benefit of machine learning over logistic regression for clinical prediction models

Published: 14 Mar 2019 | Version 1 | DOI: 10.17632/sypyt6c2mc.1
Contributor(s):

Description of this data

The uploaded files are:

  1. Excel file containing 6 sheets in respective Order: "Data Extraction" (summarized final data extractions from the three reviewers involved), "Comparison Data" (data related to the comparisons investigated), "Paper level data" (summaries at paper level), "Outcome Event Data" (information with respect to number of events for every outcome investigated within a paper), "Tuning Classification" (data related to the manner of hyperparameter tuning of Machine Learning Algorithms).

  2. R script used for the Analysis (In order to read the data, please: Save "Comparison Data", "Paper level data", "Outcome Event Data" Excel sheets as txt files. In the R script srpap: Refers to the "Paper level data" sheet, srevents: Refers to the "Outcome Event Data" sheet and srcompx: Refers to " Comparison data Sheet".

  3. Supplementary Material: Including Search String, Tables of data, Figures

  4. PRISMA checklist items

Experiment data files

This data is associated with the following publication:

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

Published in: Journal of Clinical Epidemiology

Latest version

  • Version 1

    2019-03-14

    Published: 2019-03-14

    DOI: 10.17632/sypyt6c2mc.1

    Cite this dataset

    Van Calster, Ben; Ma, Jie; Christodoulou, Evangelia; Steyerberg, Ewout; Verbakel, Jan; Collins, Gary (2019), “Data for: A systematic review showed no performance benefit of machine learning over logistic regression for clinical prediction models”, Mendeley Data, v1 http://dx.doi.org/10.17632/sypyt6c2mc.1

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Categories

Machine Learning Algorithm, Data Analysis, Systematic Review, Multivariate Logistical Regression, Clinical Prediction Model

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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