Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study by Mingwei Zhang, Ming Zhong, Yunzhang Cheng, Tianyi Zhang

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Advanced Heart Disease Prediction Through Spatial and Temporal Feature Learning with SCN-Deep BiLSTM by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia

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Consistent Quality in Video Coding: A Perceptual RDO and Neural Network-Based QP Prediction Approach by Tien Vu Huu, Huy Bui Quoc, Minh Do Ngoc, Xiem HoangVan

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A Machine Learning Zircon Trace Element Tool to Predict Porphyry Deposit Type and Resource Size by Zi‐Hao Wen, Bo Xu, Christopher L. Kirkland, David R. Lentz, Zeng‐Qian Hou, Tao Wang, Mao‐Wen Yuan

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Clinical application of combined CT radiomics and clinical features in survival prediction for pancreatic ductal adenocarcinoma patients by LI Ke, LI Ke, CHEN Jiafei, YANG Jing

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A Review of Prediction Methods for Ultra-Low Cycle Fatigue Damage of Steel Piers Under Earthquakes by Qin Tian, Shixin Cao, Xiaoming Lu, Haigen Cheng

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Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning by Yuanzhi Sun, Guangbao Mi, Peijie Li, Liangju He

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Blockchain and explainable-AI integrated system for Polycystic Ovary Syndrome (PCOS) detection by Gowthami Jaganathan, Shanthi Natesan

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Avaliação qualitativa de programas educativos em museus espanhóis (ECPEME) by Roser Calaf Masachs, Sué Gutiérrez Berciano, José Luís San Fabián Marato, Miguel Ángel Suárez Suárez

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Relative expression orderings based prediction of treatment response to Anti-PD-1 immunotherapy in advanced melanoma by Yaru Gao, Yue Huo, Lingli Wang, Jiayi Ruan, Lanzhen Chen, Hongdong Li, Guini Hong

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Predicting central lymph node metastasis in papillary thyroid microcarcinoma: a breakthrough with interpretable machine learning by Weijun Zhou, Lijuan Li, Xiaowen Hao, Lanying Wu, Lifu Liu, Binyu Zheng, Yangzheng Xia, Yong Liu

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A two phase ensembled deep learning approach of prominent gene extraction and disease risk prediction by Prajna Paramita DEBATA, Alakananda TRIPATHY, Pournamasi PARHI, Smruti Rekha DAS

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Prediction of injuries in elite soccer players with the analysis of asymmetries in the CMJ through the use of Machine Learning tools by Ángel Aceña Rodríguez, Alvaro Vita, Raul Quintana, Carlos Reyes, Aitor Abal, Pol Corpas, Luis Vita, David Agusti, Enrique Portaz

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Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis. by Trinh Huu Khanh Dong, Liane S Canas, Joseph Donovan, Daniel Beasley, Nguyen Thuy Thuong-Thuong, Nguyen Hoan Phu, Nguyen Thi Ha, Sebastien Ourselin, Reza Razavi, Guy E Thwaites, Marc Modat

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GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass by Mansour Sharabiani, Alireza Mahani, Alex Bottle, Yadav Srinivasan, Richard Issitt, Serban Stoica

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A Frequency-Aware Transformer for Multiscale Fault Diagnosis in Electrical Machines by Yurim Choi, Inwhee Joe

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Genome-wide association analysis study and genomic prediction for resistance to soybean mosaic virus in soybean population by Tiantian Zhao, Fengmin Wang, Jin Qi, Qiang Chen, Lijuan Zhu, Luping Liu, Long Yan, Yuling Chen, Chunyan Yang, Jun Qin

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Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury by Moa Pontén, Oskar Flygare, Martin Bellander, Moa Karemyr, Jannike Nilbrink, Clara Hellner, Olivia Ojala, Johan Bjureberg

“…Adding clinician predictions to the random forest model did not improve accuracy. …”
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Spatio-temporal graph neural networks for power prediction in offshore wind farms using SCADA data by S. Daenens, S. Daenens, S. Daenens, T. Verstraeten, T. Verstraeten, T. Verstraeten, P.-J. Daems, P.-J. Daems, A. Nowé, J. Helsen, J. Helsen, J. Helsen

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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

“…Retears after rotator cuff surgery are a common complication. Accurate prediction of retear is essential to minimise the risk of retear. …”
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