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)

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

Subjects:

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

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.…”

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. …”

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)

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

Summary of relevant works. by Bashir Olaniyi Sadiq (22478011)

Data underlying the findings. by Carol Kotliar (22351525)

Data Sheet 1_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf by Habtamu Setegn Ngusie (12178327)

“…A comparative analysis of 12 advanced machine learning algorithms was conducted, utilizing various data balancing techniques and hyperparameter optimization methods to enhance model performance.…”

Data Sheet 2_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf by Habtamu Setegn Ngusie (12178327)

“…A comparative analysis of 12 advanced machine learning algorithms was conducted, utilizing various data balancing techniques and hyperparameter optimization methods to enhance model performance.…”

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

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

Data generation algorithm. by Aluwani Ramalata (21262977)

Data Sheet 1_A method for finding epistatic effects of maternal and fetal variants.docx by Michael Nodzenski (3714730)

“…Though the epistasis-mining algorithms MDR-PDT, TrioFS, and EPISFA-LD were originally designed to find epistatic offspring variants, we generalize them to include maternal SNPs and search more broadly. …”

Reported MATLAB data code. by Jotham Josephat Kimondo (19139409)

“…A single-cycle sine wave excitation ensures narrowband propagation, and a custom algorithm based on the cumulative energy technique robustly detects the shear wave arrival time to estimate TOF. …”