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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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Machine learning and feature importance for prediction of hearing help seeking

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 14 Feb 2023 English Publisher:Zenodo
Authors: Angonese, Giulia;

doi: 10.5281/zenodo.7635919 , 10.5281/zenodo.7635920

Machine learning and feature importance for prediction of hearing help seeking

Abstract

This project contains the data analysis scripts complementing the paper: Angonese, G., Buhl, M., Kuhlmann, I., Kollmeier, B., & Hildebrandt, A. (2024). Prediction of Hearing Help Seeking to Design a Recommendation Module of an mHealth Hearing App: Intensive Longitudinal Study of Feature Importance Assessment. JMIR Human Factors, 11, e52310. https://doi.org/10.2196/52310 The data will be shared upon motivated request.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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