Predicting lateral pelvic lymph node metastasis in rectal cancer patients using MRI radiomics: a multicenter retrospective study by Jeongin Yoo, Jun Young Han, Won Chang, Bo Yun Hur, Jae Hyun Kim, Yunhee Choi, Soo Jin Kim, Se Hyung Kim

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Spot Price Prediction of Resources in Cloud Computing by Proposing a New Structure in Deep Learning Method Considering the Level of QOS by Seyed soroush Nezamdoust, Mohammad Ali Pourmina, Farbod Razzazi

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Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study by Seo Hyun Oh, Youngho Lee, Jeong-Heum Baek, Woongsang Sunwoo

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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

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Design and Performance Verification of Deep Learning-Based River Flood Prediction System Design and Digital Twin-Based Its Application by Heesang Eom, Younghun Kim, Jongho Paik

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Long noncoding RNAs predict the survival of patients with colorectal cancer as revealed by constructing an endogenous RNA network using bioinformation analysis by Hui Zhang, Zhuo Wang, Jianzhong Wu, Rong Ma, Jifeng Feng

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OnmiMHC: a machine learning solution for UCEC tumor vaccine development through enhanced peptide-MHC binding prediction by Fangfang Jian, Haihua Cai, Qushuo Chen, Xiaoyong Pan, Weiwei Feng, Ye Yuan, Ye Yuan

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PM2.5 concentration 7-day prediction in the Beijing–Tianjin–Hebei region using a novel stacking framework by Xintong Gao, Xiaohong Wang, Fuping Li, Wenhao Jiang, Meng Zhe, Jiaxing Sun, Ao Zhang, Linlin Jiao

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Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features by Haoru Wang MD, Ling He MD, Xin Chen MD, Shuang Ding MD, Mingye Xie MD, Jinhua Cai MD

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The Effect of Input Length on Prediction Accuracy in Short-Term Multi-Step Electricity Load Forecasting: A CNN-LSTM Approach by Seyda Ozdemir, Yakup Demir, Ozal Yildirim

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Predicting axial load capacity in elliptical fiber reinforced polymer concrete steel double skin columns using machine learning by Focai Yu, Haytham F. Isleem, Walaa J. K. Almoghayer, Ramy I. Shahin, Saad A. Yehia, Mohammad Khishe, Mohamed Kamel Elshaarawy

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Coronary artery disease prediction in women and men using chest pain characteristics and risk factors: an observational study in outpatient clinics by N Charlotte Onland-Moret, Floor Groepenhoff, Roxana Menken, Leonard Hofstra, Hester M den Ruijter, Anouk L M Eikendal, Sophie Heleen Bots, Igor I Tulevski, Aernout G Somsen

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Pharmacist-led surgical medicines prescription optimization and prediction service improves patient outcomes - a machine learning based study by Xianlin Li, Xianlin Li, Xiunan Yue, Lan Zhang, Xiaojun Zheng, Nan Shang

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A Comprehensive Framework for Adaptive Electric Vehicle Charging Station Siting and Sizing Based on Transferable Spatio-Temporal Demand Prediction by Yutong Peng, Liqi Ye, Wenrui Ouyang, Qi Xi, Jing Wang, Xiaolin Wang

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Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation by Emi Kalita, Abdullah Mana Alfarwan, Houssam El Aouifi, Houssam El Aouifi, Ashima Kukkar, Sadiq Hussain, Tazid Ali, Silvia Gaftandzhieva

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An intelligent method for NIR-based prediction of cashmere fiber and wool fiber using Markov transition field and improved YOLOv8 by Jihong Lian, Yongli Liu, Gufeng Tian, Yunhong Li, Yaolin Zhu, Xin Chen, Yule Men

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Adversarial training with GatedTabTransformer and the GAN to predict re-employment factors of Korean male workers after an industrial accident by Haewon Byeon

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Predicting gene expression changes upon epigenomic drug treatment [version 3; peer review: 4 approved, 2 not approved] by Monjura Afrin Rumi, Vishaka Gopalan, Sridhar Hannenhalli, Piyush Agrawal

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Bi‐Regional Machine Learning Radiomics Based on CT Noninvasively Predicts LOX Expression Level and Overall Survival in Hepatocellular Carcinoma by Kexin Gao, Musa Yaermaimaiti, Yiwei Wang, Guanggai Xia, Ting Xu, Hongcheng Wang

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Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients by Yuan Liu, Yuankun Liu, Yu Zhang, Pengpeng Zhang, Jiaheng Xie, Ning Zhao, Yi Xie, Chao Cheng, Songyun Zhao

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