Feature importance and SHAP (SHapley Additive exPlanations) analyses figures for the models presented in the paper.

<p>The feature names are presented in the format “mathematical_operation(database.variable)”. For example, LAST (Hospitalizations_visits.Discharge status) refers to the discharge status assigned during a patient’s last inpatient visit. Please refer to <a href="/article/info:doi/10.1371/journal.pdig.0000636#pdig.0000636.s001" target="_blank">S1 Table</a> for the details, grouping and source database of study variables included in the analysis.</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-10-25
DOI
https://doi.org/10.1371/journal.pdig.0000636.s012
Primary Topic
Statistical Methods and Applications
Type
article
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0.00
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article

Feature importance and SHAP (SHapley Additive exPlanations) analyses figures for the models presented in the paper.

Figshare
Statistical Methods and Applications
article

Feature importance and SHAP (SHapley Additive exPlanations) analyses figures for the models presented in the paper.

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Abstract

<p>The feature names are presented in the format “mathematical_operation(database.variable)”. For example, LAST (Hospitalizations_visits.Discharge status) refers to the discharge status assigned during a patient’s last inpatient visit. Please refer to <a href="/article/info:doi/10.1371/journal.pdig.0000636#pdig.0000636.s001" target="_blank">S1 Table</a> for the details, grouping and source database of study variables included in the analysis.</p> <p>(DOCX)</p>

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Openalex Percentile: Top 61%
Statistical Methods and Applications
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Feature importance and SHAP (SHapley Additive exPlanations) analyses figures for the models presented in the paper. · Figshare (2024) | TGRS Research Map | TGRS