Predicting IDH and 1p/19q molecular status of gliomas with multi-b values DWI by Shanshan Zhao, Peipei Wang, Eryuan Gao, Mengzhu Wang, Guang Yang, Shouhui Niu, Mengjiao Pan, Kai Zhao, Jingliang Cheng, Xiaoyue Ma

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Automated machine learning for predicting perioperative ischemia stroke in endovascularly treated ruptured intracranial aneurysm patients by Yuhang Peng, Ke Bi, Xiaolin Zhang, Ning Huang, Xiang Ji, Weifu Chen, Ying Ma, Yuan Cheng, Yongxiang Jiang, Jianhe Yue

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Predicting Environmental Risks: Using Water Balances for Sustainable Power at Kusile Power Station (south Africa) by Amelia Meyer, Hendrik G. Brink

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Insights into the linkages of forest structure dynamics with ecosystem services by T. V. Ramachandra, Paras Negi, Tulika Mondal, Syed Ashfaq Ahmed

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Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

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Evaluating the potential of phenotypic age to enhance cardiovascular risk prediction over chronological age in the UK Biobank by Kristine J. S. Kwan, Shi-Shuai Xie, Hai-Lei Li, Xue-Guang Lin, Yi-Jie Lu, Bo Chen, Kai-Xin Ge, Shu-Ya Tang, Hui Zhang, Shuai Jiang, Jing-Dong Tang

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Lateral Walking Gait Recognition and Hip Angle Prediction Using a Dual-Task Learning Framework by Mingxiang Luo, Meng Yin, Jinke Li, Ying Li, Worawarit Kobsiriphat, Hongliu Yu, Tiantian Xu, Xinyu Wu, Wujing Cao

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The landscape in telomere related gene prognostic signature for survival and medication treatment effectiveness prediction in hepatocellular carcinoma by Kai Zhou, Xingyu Liu, Mingda Wang, Jinjiang Duan, Xu Zhao, Hanjun Yin

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Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia by Jamilu Sani, Salad Halane, Abdiwali Mohamed Ahmed, Mohamed Mustaf Ahmed

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Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods by Peng Zhang, Bifan Zhu, Xing Chen, Linan Wang

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Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome by Yaxuan He, Zekai Chen, Zhaohui Tang, Yuexiang Qin, Fang Wang

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Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

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DeepDeconUQ estimates malignant cell fraction prediction intervals in bulk RNA-seq tissue. by Jiawei Huang, Yuxuan Du, Kevin R Kelly, Jinchi Lv, Yingying Fan, Jiang F Zhong, Fengzhu Sun

“…This study introduces DeepDeconUQ, a deep neural network model developed to estimate prediction intervals for malignant cell fractions based on bulk RNA-seq data. …”
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Transfer Learning and Neural Network-Based Approach on Structural MRI Data for Prediction and Classification of Alzheimer’s Disease by Farideh Momeni, Daryoush Shahbazi-Gahrouei, Tahereh Mahmoudi, Alireza Mehdizadeh

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Eliminating Effect of Moisture Content in Prediction of Lower Heating Value and Ash Content in Sugarcane Leaves Biomass by Kanvisit Maraphum, Kantisa Phoomwarin, Nirattisak Khongthon, Jetsada Posom

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Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression by Zainab H. Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy

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Machine learning-based prediction of five-year all-cause mortality in patients with mixed gastric cancer by Cong Wang, Hongwei Li, Hongye Yang, Yingwei Xue

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Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life prediction by Yingming Yang, Zhihai Wang, Xiaoqin Liu, Tao Liu, Zhuopeng Luo

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Artificial Neural Network-Based Prediction of Total Eccentricities in Existing Buildings Using Ambient Vibration Records by Farah Kahlouche, Nouredine Bourahla, Ismail Derbal, Ahmed Mebarki

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Multimodal deep learning for predicting PD-L1 biomarker and clinical immunotherapy outcomes of esophageal cancer by Hui Liu, Yinpu Bai, Zhidong Wang, Shi Yin, Cheng Gong, Bin Wang

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