Data Sheet 1_Comprehensive bioinformatics and in vitro studies reveal the carcinogenic role and molecular basis of endocrine disruptors in prostate cancer.xlsx by Feng Yu (273443)

“…From 101 machine learning algorithm combinations, the most relevant key genes for PCa progression were screened. …”

Data Sheet 2_Comprehensive bioinformatics and in vitro studies reveal the carcinogenic role and molecular basis of endocrine disruptors in prostate cancer.docx by Feng Yu (273443)

“…From 101 machine learning algorithm combinations, the most relevant key genes for PCa progression were screened. …”

Data Sheet 1_Machine learning prediction of feeding intolerance in preterm infants: a pre-feeding risk stratification model.docx by Gai Mao (22186660)

“…Clinical data collected at admission underwent feature selection using cross-validated LASSO regression. Eleven machine learning algorithms were systematically compared using accuracy, area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. …”

Table 1_A machine learning framework for predicting cognitive impairment in aging populations using urinary metal and demographic data.docx by Fengchun Ren (21596462)

“…Introduction<p>Cognitive impairment in older adults poses a significant global public health concern, with environmental metal exposure emerging as a major risk factor. However, the combined effects of multiple metals and the modulatory roles of demographic variables remain insufficiently explored.…”