Information Value Scores (Binary Logistic Regression) and Feature Importance Scores (Random Forest) Across Features (for IVs from LR, a bar with dashed border indicates a significant feature in the binary logistic model).

Information Value Scores (Binary Logistic Regression) and Feature Importance Scores (Random Forest) Across Features (for IVs from LR, a bar with dashed border indicates a significant feature in the binary logistic model).

<p>Information Value Scores (Binary Logistic Regression) and Feature Importance Scores (Random Forest) Across Features (for IVs from LR, a bar with dashed border indicates a significant feature in the binary logistic model).</p>

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Bibliographic Details
Main Author:	Anis Ben Ghorbal (22521828) (author)
Other Authors:	Ibrahim Elbatal (8605032) (author), Abdel-Rahman Aldukeel (22521831) (author), Abdelhamid Elshabrawy (14847970) (author), Sarah Assem Ibrahim (14847976) (author), Niveen Ibrahim Aly El-Zayat (22521834) (author), Samah Zakaria (22521837) (author), Heba Ahmed Abd El-Wahab (22521840) (author), Dina Mohsen Sabry (22521843) (author), Thuraya Elsayed (22521846) (author), Suzan Abdel-Rahman (11307751) (author), Hatem Semary (22521849) (author)
Published:	2025
Subjects:	Sociology Science Policy Mental Health random forest algorithm participants &# 8217 extended unified theory effort expectancy index binary logistic regression test set ). perceived barriers also classification models indicated ease people feel 774 versus 0 using telehealth services telehealth services perceived ease classification accuracy assessed using 024 ). telehealth system xlink "> social influence significantly associated saudi arabia positive effect paper utilized paper aimed online survey november 2024 findings underscore facilitating conditions ensuring equitable disabled individuals disability along comfort related attitudes towards 044 ),
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Summary:	<p>Information Value Scores (Binary Logistic Regression) and Feature Importance Scores (Random Forest) Across Features (for IVs from LR, a bar with dashed border indicates a significant feature in the binary logistic model).</p>

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