Development and validation of web-based, interpretable predictive models for sepsis and mortality in extensive burns by Shi-Qi Wang, Shi-Qi Wang, Kan Qiu, Qi-Rui Zheng, Bing-Jie Zhou, Ming-Yu Li, Hai-Yan Zhong, Yong Chen, Si-Ming Yuan, Si-Ming Yuan

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Characteristics and predictive model for diffuse large B-cell lymphoma with early chemoimmunotherapy failure by Ying-Yu Dong, Qing Shi, Wen Wu, Bing-Bing Zhao, Di Fu, Peng-Peng Xu, Shu Cheng, Guilhem Bousquet, Guilhem Bousquet, Guilhem Bousquet, Wei-Li Zhao, Wei-Li Zhao, Li Wang, Li Wang

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Implementing Symptom-Based Predictive Models for Early Diagnosis of Pediatric Respiratory Viral Infections by Antoni Soriano-Arandes, Cristina Andrés, Aida Perramon-Malavez, Anna Creus-Costa, Anna Gatell, Ramona Martín-Martín, Elisabet Solà-Segura, Maria Teresa Riera-Bosch, Eduard Fernández, Mireia Biosca, Ramon Capdevila, Almudena Sánchez, Isabel Soler, Maria Chiné, Lidia Sanz, Gabriela Quezada, Sandra Pérez, Dolors Canadell, Olga Salvadó, Marisa Ridao, Imma Sau, Ma Àngels Rifà, Esperança Macià, Sílvia Burgaya-Subirana, Mònica Vila, Jorgina Vila, Asunción Mejías, Andrés Antón, Pere Soler-Palacin, Clara Prats

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Predictive risk-scoring model for lateral lymph node metastasis in papillary thyroid carcinoma by Yehao Guo, Yunye Liu, Weidong Teng, Yan Pan, Lizhuo Zhang, Dongdong Feng, Jiajun Wu, Wenli Ma, Jiafeng Wang, Jiajie Xu, Chuanming Zheng, Xuhang Zhu, Zhuo Tan, Liehao Jiang

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Metabolome Profiling and Predictive Modeling of Dark Green Leaf Trait in Bunching Onion Varieties by Tetsuya Nakajima, Mari Kobayashi, Masato Fuji, Kouei Fujii, Mostafa Abdelrahman, Yasumasa Matsuoka, Jun’ichi Mano, Muneo Sato, Masami Yokota Hirai, Naoki Yamauchi, Masayoshi Shigyo

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Identifying species traits that predict vulnerability to climate change by Damien A. Fordham

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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

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Gut microbiota as a predictive tool for outcomes in IgA nephropathy by Yijun Dong, Ge Yan, Yiding Zhang, Yukun Zhou, Jin Shang

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Predicting purulent meningitis in very preterm infants: a novel clinical model by Xiaowei Sun, Rui Jing, Yang Li

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Precision prognostic model for uveal melanoma: nomogram prediction and comparison with AJCC system by Wentao Wu, Jingjing Zhu, Yuzhu Wu, Daning Li, Rong Liu, Yuchen Zheng, Qiuqiong Deng, Yiqiang Yuan

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Study on prediction model and influencing factors of progression-free survival in colorectal cancer by CHEN Jiaying, CHU Yimin, PENG Haixia

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Prediction of emergence of first-instar Ricania shantungensis (Hemiptera: Ricaniidae) in persimmons by Sunghoon Baek, Min-Jung Kim, Hwa-Young Seo, Chang-Gyu Park

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Computerised Method of Multiparameter Optimisation of Predictive Control Algorithms for Asynchronous Electric Drives by Grygorii Diachenko, Serhii Semenov, Katarzyna Marczak, Gernot Schullerus, Ivan Laktionov

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Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective Study by Zhi-Min Song, Xiao-Jie Wan, Jian-Peng Chen, Tao Zhang, Jie Luo, Jian-Hong Zhou, Jing-Yi Li

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Construction of geriatric hypoalbuminemia predicting model for hypoalbuminemia patients with and without pneumonia and explainability analysis by Ziqi Liu, Ziqi Liu, Qi Kang, Zhilong Mi, Zhilong Mi, Yuan Yuan, Tiantian Sang, Binghui Guo, Binghui Guo, Binghui Guo, Zhiming Zheng, Zhiming Zheng, Zhiming Zheng, Ziqiao Yin, Ziqiao Yin, Ziqiao Yin, Ziqiao Yin, Wei Tian

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A hybrid ARIMA-BP approach for superior accuracy in predicting traffic accident losses by Jian Liu, Zhuqing Zhang, Bin Lyu, Rui Feng, Ye He

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Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications by Damjan Strnad, Stefan Kohek, Borut Zalik, Libor Vasa, Andrej Nerat

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Prediction of influenza peaks in Russian cities: Comparing the accuracy of two SEIR models by Vasiliy N. Leonenko, Sergey V. Ivanov

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Theoretical Predictions for the Equation of State of Metal Nickel at Extreme Conditions by Sihan Wu, Yueyue Tian, Boyuan Ning, Huifen Zhang, Xijing Ning

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Leveraging LLMs for predictive insights in food policy and behavioral interventions by Micha Kaiser, Paul M. Lohmann, Peter Ochieng, Billy Shi, Cass R. Sunstein, Lucia A. Reisch

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