Multimodal Deep Learning Integration of Image, Weather, and Phenotypic Data Under Temporal Effects for Early Prediction of Maize Yield by Danial Shamsuddin, Monica F. Danilevicz, Hawlader A. Al-Mamun, Mohammed Bennamoun, David Edwards

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Development and validation of a nomogram to predict the unfavorable outcomes in elderly patients undergoing lumbar fusion surgery for degenerative disease by Peng Cui, Shuaikang Wang, Haojie Zhang, Peng Wang, Xiaolong Chen, Chao Kong, Shibao Lu

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Analysis of Passenger Flow Characteristics and Origin–Destination Passenger Flow Prediction in Urban Rail Transit Based on Deep Learning by Zhongwei Hou, Jin Han, Guang Yang

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Design of an Optimized Feature Driven Severity Stage Classifier for Parkinson’s Disease Prediction Using Deep Learning by K. Shyamala, T. M. Navamani

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Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit by Heshan Cao, Junying Wei, Ping Hua, Songran Yang, Songran Yang

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Personalized predictions of neoadjuvant chemotherapy response in breast cancer using machine learning and full-field digital mammography radiomics by Ye Ruan, Xingyuan Liu, Yantong Jin, Mingming Zhao, Xingda Zhang, Xiaoying Cheng, Yang Wang, Siwei Cao, Menglu Yan, Jianing Cai, Mengru Li, Bo Gao

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Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

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Enhanced real-time Parkinson’s disease monitoring and severity prediction using a multi-faceted deep learning approach by Marreddy Naga Sabari, Deepak Ch

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Risk factors and a nomogram for predicting valproic acid-induced liver injury : A nested case-control study by Yue Chen, Yadong Wang, Runan Xia, Yi Chen, Xuefeng Xie

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A Novel Multiscale Contact Mechanics Approach for Wear Prediction in Journal Bearings via a Mixed Elastohydrodynamic Simulation by Javier Blanco-Rodríguez, Marti Cortada-Garcia, Francisco J. Profito, Jacobo Porteiro

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Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example. by Hou Zhu, Li Shuhuai

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Development and validation of an inflammation-nutrition indices-based nomogram for predicting early recurrence in patients with stage IB lung adenocarcinoma by Xianneng He, Yishun Xiang, Chengbin Lin, Weiyu Shen

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Machine learning prediction of preterm birth in women under 35 using routine biomarkers in a retrospective cohort study by Xiaojing Teng, Mengting Liu, Zhiyi Wang, Xueyan Dong

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Deep Learning‐Based Prediction of Global Ionospheric TEC During Storm Periods: Mixed CNN‐BiLSTM Method by Xiaochen Ren, Biqiang Zhao, Zhipeng Ren, Yan Wang, Bo Xiong

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Comprehensive analysis of risk factors and nomogram development for predicting hepatic metastasis following radical resection of adenocarcinoma of the esophagogastric junction by Lili Deng, Jie Sun, Jing Wang, Xiaokai Duan, Baozhong Li

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Analisis Perbandingan Metode Regresi Linier, Random Forest Regression dan Gradient Boosted Trees Regression Method untuk Prediksi Harga Rumah by Evita Fitri

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Early prediction of progression-free survival of patients with locally advanced nasopharyngeal carcinoma using multi-parametric MRI radiomics by Lian Jian, Cai Sheng, Huaping Liu, Handong Li, Pingsheng Hu, Zhaodong Ai, Xiaoping Yu, Huai Liu

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Reliability Prediction Based on Multi-State Dynamic Bayesian Network Structure Learning for Complex System With Time-Lagged Correlation by Kaixin Liu, Weilu Chen

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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

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Construction and validation of acetylation-related gene signatures for immune landscape analysis and prognostication risk prediction in luminal breast cancer by Mengdi Zhu, Jinna Lin, Haohan Liu, Jingru Wang, Nianqiu Liu, Yudong Li, Hongna Lai, Qianfeng Shi

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