Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission by Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante

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Multimodal prediction based on ultrasound for response to neoadjuvant chemotherapy in triple negative breast cancer by Maohua Lyu, Shouheng Yi, Chunyan Li, Yu Xie, Yu Liu, Zeyan Xu, Zhitao Wei, Huan Lin, Yunlin Zheng, Chunwang Huang, Xi Lin, Zaiyi Liu, Shufang Pei, Biao Huang, Zhenwei Shi

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Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features by Zhou Lu, Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu

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Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction by Tri Yulian, Erliyan Redy Susanto

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A probabilistic gap based condition prediction approach for desulfurization slurry circulating pump by Jiaxing Zhu, Buyun Sheng, Junlan Hu, Yanfei Li, Ruiping Luo, Yue Shi

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Parametric BIM and Machine Learning for Solar Radiation Prediction in Smart Growth Urban Developments by Seongchan Kim, Jong Bum Kim

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A Copula Based Approach for Design of Multivariate Random Forests for Drug Sensitivity Prediction. by Saad Haider, Raziur Rahman, Souparno Ghosh, Ranadip Pal

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Applying Machine Learning to Predict Intercity Bus Ticket Prices During the Holiday Season by Rifandi Almanda, Tety Elida

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Online Optimization of Collaborative Web Service QoS Prediction Based on Approximate Dynamic Programming by Xiong Luo, Hao Luo, Xiaohui Chang

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Predicting the <i>S. cerevisiae</i> Gene Expression Score by a Machine Learning Classifier by Piotr H. Pawłowski, Piotr Zielenkiewicz

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A Multihierarchy Flow Field Prediction Network for Multimodal Remote Sensing Image Registration by Wenqing Wang, Kunpeng Mu, Han Liu

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Fault Prediction of Bearing Based on Dual Dimensional Perception and Composite Gated Recurrent Network by Wang Weiping, Xue Shibei

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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

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GRAPPA—A hybrid graph neural network for predicting pure component vapor pressures by Marco Hoffmann, Hans Hasse, Fabian Jirasek

“…The trained model and its code are fully disclosed, and GRAPPA is directly applicable via the interactive website https://ml-prop.mv.rptu.de/.…”
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Prediction of laser welding qualities of Al alloys using regression and machine learning techniques by Hemant Kumar, Soumyabrata Chakravarty, Nitesh Kuamr, Nikhil Kumar

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Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases by Roshan Kumar, V Srirama, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga

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CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction by Xianfang Tang, Yawen Hou, Yajie Meng, Zhaojing Wang, Changcheng Lu, Juan Lv, Xinrong Hu, Junlin Xu, Jialiang Yang

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SGO enhanced random forest and extreme gradient boosting framework for heart disease prediction by Anima Naik, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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Development and validation of a nomogram for predicting low Kt/Vurea in peritoneal dialysis patients by Danfeng Zhang, Tian Zhao, Liting Gao, Huan Zhu, Haowei Jin, Guiling Liu, Deguang Wang

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Survival prediction in gliomas based on MRI radiomics combined with clinical factors and molecular biomarkers by Min Hao, Junyu Yan, Xiaochun Wang, Yan Tan, Hui Zhang, Guoqiang Yang

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