Supplementary file 1_Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning.docx by Lian Li (49049)

“…After preprocessing, fourteen machine learning algorithms were employed to develop a predictive model for VTE risk in PMN patients. …”

Multispectral UAV imagery and machine learning for morphological differentiation of two tropical C4-forage grasses in an integrated crop-livestock system in the State of Goias, Bra... by Diogo Castilho Silva (15353644)

“…Three machine learning algorithms (Random Forest – RF, SVM, XGBoost) were compared using 200,000 annotated pixels. …”

Collaborative Research: SCIPE: Interdisciplinary Research Support Community for Artificial Intelligence and Data Sciences by Sanmukh Kuppannagari (21798863)

“…<br><br>To achieve 10x-100x reduction in DNN energy consumption, a holistic approach is pursued, which encompasses: (1) new circuit designs that leverage emerging CMOS+X technologies; (2) a novel near-memory architecture in which processing elements are seamlessly integrated with traditional Dynamic RAM (DRAM); (3) novel 3D-matrix-based per-layer DNN computations and data-layout optimizations for kernel weights; and (4) algorithms and hardware/software co-design tailored for near-real-time DNN-based signal classification in next-generation wireless systems. …”

Table 1_Creating an interactive database for nasopharyngeal carcinoma management: applying machine learning to evaluate metastasis and survival.docx by Yanbo Sun (2202439)

“…Objective<p>Nasopharyngeal carcinoma (NPC) patients frequently present with distant metastasis (DM), which is typically associated with poor prognosis. …”

Table 2_Development and validation of interpretable machine learning models for postoperative pneumonia prediction.xlsx by Bingbing Xiang (17198547)

“…This study aimed to develop and validate a predictive model for postoperative pneumonia in surgical patients using nine machine learning methods.</p>Objective<p>Our study aims to develop and validate a predictive model for POP in surgical patients using nine machine learning algorithms. …”

Supplementary file 1_Construction and validation of a machine learning model integrating ultrasound features and inflammatory markers (OVART-ML) for predicting ovarian torsion and... by Zhifei Zhao (4014386)

“…Objective<p>To construct a machine learning (ML) model (OVART-ML) using multimodal clinical data for predicting the risk of ovarian torsion (OT) and secondary ischemic necrosis (IN) in children and to identify key factors to assist clinical decision-making.…”

Table 1_Construction and validation of a machine learning model integrating ultrasound features and inflammatory markers (OVART-ML) for predicting ovarian torsion and ischemic necr... by Zhifei Zhao (4014386)

“…Objective<p>To construct a machine learning (ML) model (OVART-ML) using multimodal clinical data for predicting the risk of ovarian torsion (OT) and secondary ischemic necrosis (IN) in children and to identify key factors to assist clinical decision-making.…”

Supplementary file 2_Construction and validation of a machine learning model integrating ultrasound features and inflammatory markers (OVART-ML) for predicting ovarian torsion and... by Zhifei Zhao (4014386)

“…Objective<p>To construct a machine learning (ML) model (OVART-ML) using multimodal clinical data for predicting the risk of ovarian torsion (OT) and secondary ischemic necrosis (IN) in children and to identify key factors to assist clinical decision-making.…”

Table 1_Development and validation of interpretable machine learning models for postoperative pneumonia prediction.docx by Bingbing Xiang (17198547)

“…This study aimed to develop and validate a predictive model for postoperative pneumonia in surgical patients using nine machine learning methods.</p>Objective<p>Our study aims to develop and validate a predictive model for POP in surgical patients using nine machine learning algorithms. …”

Data Sheet 1_Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patients—Machine learning models for clinical decision support.do... by Yuanguo Xiong (20135991)

“…Thirteen distinct machine learning (ML) algorithms were trained and benchmarked to construct an optimal risk stratification framework. …”

Image 1_Automated machine learning for predicting perioperative ischemia stroke in endovascularly treated ruptured intracranial aneurysm patients.jpeg by Yuhang Peng (11072070)

“…Nine machine learning algorithms were evaluated using stratified 10-fold cross-validation. …”

Image 1_Construction of a diagnostic model and identification of effect genes for diabetic kidney disease with concurrent vascular calcification based on bioinformatics and multipl... by Lili Huang (125493)

“…Multiple machine learning algorithms were applied to select the optimal diagnostic model and identify hub genes, including LASSO regression, Random Forest, Gaussian Mixture Model (GMM), and Support Vector Machine-Reference (SVM-REF). …”

Image 1_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif by Xiaobing Li (291454)

“…Objective<p>To develop a differential diagnostic prediction model for distinguishing large opacities in pneumoconiosis from peripheral lung cancer based on CT radiomics.…”

Image 2_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif by Xiaobing Li (291454)

“…Objective<p>To develop a differential diagnostic prediction model for distinguishing large opacities in pneumoconiosis from peripheral lung cancer based on CT radiomics.…”

DataSheet2_Identification and validation of diagnostic biomarkers and immune cell abundance characteristics in Staphylococcus aureus bloodstream infection by integrative bioinforma... by Junhong Shi (14378839)

“…Gene expression dataset GSE33341 was optimized as the discovery dataset, which contained samples from human and mice. …”

Presentation1_Identification and validation of diagnostic biomarkers and immune cell abundance characteristics in Staphylococcus aureus bloodstream infection by integrative bioinfo... by Junhong Shi (14378839)

“…Gene expression dataset GSE33341 was optimized as the discovery dataset, which contained samples from human and mice. …”

DataSheet1_Identification and validation of diagnostic biomarkers and immune cell abundance characteristics in Staphylococcus aureus bloodstream infection by integrative bioinforma... by Junhong Shi (14378839)

“…Gene expression dataset GSE33341 was optimized as the discovery dataset, which contained samples from human and mice. …”

Data Sheet 1_Artificial intelligence in hospital infection prevention: an integrative review.docx by Rabie Adel El Arab (14113425)

“…Artificial intelligence (AI) offers promising potential for improving HAIs prevention through advanced predictive capabilities.</p>Objective<p>To evaluate the effectiveness, usability, and challenges of AI models in preventing, detecting, and managing HAIs.…”

Figures and Tables by Divya C D (22799186)

“…Robots Comput. Vision XXXI: Algorithms and Techniques, Burlingame, CA, USA, Jan. 23–24, 2012.…”

Robust principal component analysis combined with top-hat transform for clutter suppression in GPR images by Fang Ye (112854)

“…The experimental results on simulation and real data show that the proposed method has better performance than several state-of-the-art clutter suppression algorithms.</p>…”