Prediction performance at various binary cut-points for Reporting a Regular Medical Doctor with 3- and 5-years of data.

<p>A cut-point of 0.10 indicates that anyone with a predicted probability of having a regular medical doctor greater than or equal to 0.1 is classified as having a regular medical doctor and anyone with less than 0.1 is classified as not having a regular medical doctor.</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-12-02
DOI
https://doi.org/10.1371/journal.pone.0314381.s003
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction performance at various binary cut-points for Reporting a Regular Medical Doctor with 3- and 5-years of data.

Figshare
Machine Learning in Healthcare
article

Prediction performance at various binary cut-points for Reporting a Regular Medical Doctor with 3- and 5-years of data.

article en

Abstract

<p>A cut-point of 0.10 indicates that anyone with a predicted probability of having a regular medical doctor greater than or equal to 0.1 is classified as having a regular medical doctor and anyone with less than 0.1 is classified as not having a regular medical doctor.</p> <p>(DOCX)</p>

Figshare
Openalex Percentile: Top 70%
Machine Learning in Healthcare
DOISourceOpenAlex
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Prediction performance at various binary cut-points for Reporting a Regular Medical Doctor with 3- and 5-years of data. · Figshare (2024) | TGRS Research Map | TGRS