Supplementary file 2_Urban–rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models.xlsx by LiHan Lin (19267964)

“…Predictive models for fall risk over the next 3 years among urban and rural older populations were developed using five machine learning algorithms. Logistic regression analysis was employed to identify key factors influencing falls in these populations.…”

Supplementary file 3_Urban–rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models.xlsx by LiHan Lin (19267964)

“…Predictive models for fall risk over the next 3 years among urban and rural older populations were developed using five machine learning algorithms. Logistic regression analysis was employed to identify key factors influencing falls in these populations.…”

Supplementary file 1_Urban–rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models.pdf by LiHan Lin (19267964)

“…Predictive models for fall risk over the next 3 years among urban and rural older populations were developed using five machine learning algorithms. Logistic regression analysis was employed to identify key factors influencing falls in these populations.…”

<b>dGenhancer v2</b>: A software tool for designing oligonucleotides that can trigger gene-specific Enhancement of Protein Translation. by Adam Master (20316450)

“…<p dir="ltr"> Software tool designed to calculate 5’UTR properties, enabling the creation of oligonucleotides that can trigger gene-specific enhancement of protein translation.<br> An excel-based calculator - dGenhancer can be used to search for putative 5’UTR cis-acting elements, which functional activity could be determined by Gibbs energy-dependent secondary structure formation. …”

Data Sheet 1_Evaluating the effectiveness of AI-enhanced “One Body, Two Wings” pharmacovigilance models in China: a nationwide survey on medication safety and risk management.pdf... by Jian Yang (12136)

“…Data were collected through a validated questionnaire and analyzed using ANOVA, regression analysis, decision tree models, and random forest algorithms. …”

Data Sheet 2_Quality, reliability, and dissemination of lung cancer information on short-video platforms in China: a cross-platform content analysis of TikTok, Kwai, and Rednote.do... by Xiaoran Zheng (6254537)

“…Video quality was systematically evaluated using a multidimensional toolkit, including the Journal of the American Medical Association (JAMA) benchmark criteria, Global Quality Scale (GQS), modified DISCERN (mDISCERN), and the Patient Education Materials Assessment Tool (PEMAT-U/A). …”

Addis Ababa City Road Traffic Accident Severity Dataset by Getachew Getu Enyew (20493506)

“…</p><p dir="ltr">The dataset aims to facilitate the analysis and prediction of road traffic accident severity using machine learning algorithms. It was initially collected by the <b>Addis Ababa Police Department</b> and contains a rich set of variables, including <b>weather conditions, collision type, driver demographics, road conditions, and time of accident</b>, among others. …”

Data Sheet 1_Quality, reliability, and dissemination of lung cancer information on short-video platforms in China: a cross-platform content analysis of TikTok, Kwai, and Rednote.do... by Xiaoran Zheng (6254537)

“…Video quality was systematically evaluated using a multidimensional toolkit, including the Journal of the American Medical Association (JAMA) benchmark criteria, Global Quality Scale (GQS), modified DISCERN (mDISCERN), and the Patient Education Materials Assessment Tool (PEMAT-U/A). …”

Data Sheet 1_Checkpoint based immunotherapy in non-small cell lung cancer: a real-world retrospective study.docx by Luigi Liguori (9434405)

“…Multivariate survival analyses were performed using the Cox proportional hazards model.</p>Results<p>Clinical data of 129 patients were retrieved. …”

Table 1_On the construction of a large-scale database of AI-assisted annotating lung ventilation-perfusion scintigraphy for pulmonary embolism (VQ4PEDB).docx by Amir Jabbarpour (21731339)

“…The majority of studies were acquired using Siemens, Philips, and GE scanners, adhering to standardized local imaging protocols. …”

Table 2_On the construction of a large-scale database of AI-assisted annotating lung ventilation-perfusion scintigraphy for pulmonary embolism (VQ4PEDB).docx by Amir Jabbarpour (21731339)

“…The majority of studies were acquired using Siemens, Philips, and GE scanners, adhering to standardized local imaging protocols. …”

Table 1_Explainable machine learning model for predicting the outcome of acute ischemic stroke after intravenous thrombolysis.docx by Fanhai Bu (22315168)

“…The least absolute shrinkage and selection operator (LASSO) regression selected predictors from clinical/neuroimaging/laboratory variables. Eight ML algorithms (including Logistic Regression, Random Forest, Extreme Gradient Boosting, Multilayer Perceptron, Support Vector Machine, Light Gradient Boosting Machine, Decision Tree, and K-Nearest Neighbors) were trained using 10-fold cross-validation and evaluated on test/external sets via the area under the curve (AUC), accuracy, precision, recall and F1-score. …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…Machine learning regression algorithms were trained to predict betalain accumulation from digital images, outperforming classic spectroradiometer measurements. …”

Machine learning to predict postdialysis fatigue in patients undergoing hemodialysis by Yuhan Zhang (2792089)

“…</p><p>Seven machine learning algorithms were used to construct the prediction model, and RF performed the best.…”

Data Sheet 1_Artificial intelligence–enabled social media listening to inform early patient-focused drug development: perspectives on approaches and strategies.docx by Erica Spies (11211895)

“…Herein, we describe a novel, trainable, AI-enabled, SML workflow that classifies posts made by patients or caregivers and uses NLP to provide data on their experiences. Our approach is an iterative process that balances human expert–led milestones and AI-enabled processes to support data preprocessing, patient and caregiver classification, and NLP methods to produce qualitative data. …”

Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals by Shantanu Sarkar (20848745)

“…</b><b> </b><b>BMI Experiment Sessions</b></p><p dir="ltr">The <b>“ExperimentSessions”</b> folder contains data derived from a multi-session brain-machine interface (BMI) training study involving seven healthy participants, focusing on both open-loop and closed-loop lower-limb exoskeleton control. …”

Trust as moral currency: Perspectives of health researchers in sub-Saharan Africa on strategies to promote equitable data sharing by Qunita Brown (19751520)

“…High quality data from Africa will afford diversity to global data sets, reducing bias in algorithms built for artificial intelligence technologies in healthcare. …”

Data Sheet 1_Religion and politics of belonging in digital times: youth religiosity in focus.pdf by Astrid Mattes (20639264)

“…Young believers, in particular, experience their religion as a powerful category of difference, often related to discrimination or rejection on grounds of their religiosity. …”

Quantitatively linking morphology and optical response of individual silver nanohedra - data by Zoltan Sztranyovszky (19655521)

“…By systematically investigating various tomography reconstruction algorithms which influence the geometry, and varying material parameters of the system, we find out that assuming a thin (~0.3-1nm) tarnish layer has formed on the particle surface brings about a good agreement between simulation and experiment.…”