Relevant data underlying the findings described in manuscript. by Lin Qi (128224)

The relevant data file for this article. by Linsha Liu (20378293)

Model-relevant variable data for external patients. by Lei Gao (6566)

BIC-SAC findings. by Nayeem Ahmad Khan (11727377)

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BIC Non-linearity findings. by Nayeem Ahmad Khan (11727377)

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SAC’s findings for suggested S-Box. by Nayeem Ahmad Khan (11727377)

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Sensitivity Analysis of the “Swift Effect” Across Matching Algorithms. by James M. Smoliga (9074225)

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Non-linearities’ findings against the proposed S-Box. by Nayeem Ahmad Khan (11727377)

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Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf by Wen Guan (5612195)

Federated averaging algorithm pseudocode. by Hadi Mohammadian KhalafAnsar (22783784)

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

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External cohort raw data. by Lei Gao (6566)

“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…”

Internal cohort raw data. by Lei Gao (6566)

“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…”

Dataset. by James M. Smoliga (9074225)

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Statistical Analysis Code. by James M. Smoliga (9074225)

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Feature selection using Boruta algorithm. by Shayla Naznin (13014015)

“…</p><p>Methods</p><p>Multiple machine learning (ML) algorithms were applied to data from the 2022 Bangladesh Demographic Health Survey, including Random Forest, Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, XGBoost, LightGBM and Neural Networks. …”

XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm by Pankaj Tyagi (20147683)

“…We first collected the dataset of 1278 odorant molecules with seven basic odor descriptors, and then 1875 physicochemical properties of odorant molecules were calculated. To obtain relevant physicochemical features, a feature reduction algorithm called PCA was also employed. …”

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

Echocardiographic and Clinical data comparison between None-BSH and BSH group patients in the Internal cohort. by Lei Gao (6566)

Relevant computed image data. by Zhaoyu Ku (20660546)