A Lymphocyte Subset-Based Prediction Model for Refractory Community-Acquired Pneumonia in Immunocompetent Patients by Jingyuan Zhang, Xinyu Hu, Ailifeila Aili, Lei Pan, Xinying Xue, Xiaolan Chen

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Comprehensive mathematical modeling of age-dependent oocyte quality and quantity for predicting live birth rate by Toshio Sujino, Tatsuyuki Ogawa, Akira Komiya, Akira Komiya, Makiko Tajima, Yuko Takayanagi, Yurie Nako, Hayata Nakajo, Kenichiro Hiraoka, Isao Tamura, Hidetoshi Yamashita, Kiyotaka Kawai

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Developing a nomogram model for predicting non-obstructive azoospermia using machine learning techniques by Hong Xiao, Yi-lang Ding, Chao Wang, Peng Yang, Qiang Chen, Hao-nan He, Ruijie Yao, Hai-lin Huang, Xi Chen, Mao-yuan Wang, Song-xi Tang, Hui-liang Zhou

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Machine learning-based risk prediction model for pertussis in children: a multicenter retrospective study by Juan Xie, Run-wei Ma, Yu-jing Feng, Yuan Qiao, Hong-yan Zhu, Xing-ping Tao, Wen-juan Chen, Cong-yun Liu, Tan Li, Kai Liu, Li-ming Cheng

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Risk prediction models for mortality in patients with severe pneumonia: a systematic review and meta-analysis by Xiaoyu Wang, Xiaoyu Wang, Zhenzhen Feng, Zhenzhen Feng, Zhenzhen Feng, Lu Wang, Lu Wang, Wenrui Liu, Wenrui Liu, Jiansheng Li, Jiansheng Li, Jiansheng Li

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Prediction of lung adenocarcinoma prognosis and clinical treatment efficacy by telomere-associated gene risk model by Yan Jiang, Jun Liu, Bi Pan, Siping Yu, Chunyan Hu, Qiancheng Li, Hong Cheng, Ling Chen, Min Jiang, Die Xu, Chuanhui Wang, Jie Yan

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Prediction of drug-drug interactions in clozapine combination therapy based on physiologically based pharmacokinetic model by MOU Fan, HUANG Zhiwei, CHENG Yu, ZHAO Xue, LI Huafang, YU Shunying

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Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors by Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Nicholas Riccardi, Valerie L. Shalin, Valerie L. Shalin, Dirk-Bart den Ouden, Julius Fridriksson, Svetlana V. Shinkareva, Svetlana V. Shinkareva, Amit P. Sheth, Amit P. Sheth, Amit P. Sheth, Rutvik H. Desai, Rutvik H. Desai

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Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic model by Wenjing Wang, Qingbiao Zhang, Shimei Fan, Yuyin Wang, Xingyan Le, Min Ai, Chunqi Du, Junbang Feng, Chuanming Li

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Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients by Yunjie Zhang, Songjian Tong, Junhui Yang, Jiawei Lin, Yifan Kong, Deyu Lu, Yan Chen, Yingchao Li, Linfeng Xu, Xiuyan Kong, Guoqing Zhu, Hao Zhang, Pixu Liu, Zhijie Yu, Jinglin Xia

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A Radiomic-based model to predict the depth of myometrial invasion in endometrial cancer on ultrasound images by Francesca Arezzo, Annarita Fanizzi, Rosanna Mancari, Emiliano Cocco, Samantha Bove, Maria Colomba Comes, Mariangela Gianciotta, Giorgia Lanza, Salvatore Lopez, Gerardo Cazzato, Erica Silvestris, Elsa Vitale, Enrico Vizza, Gennaro Cormio, Raffaella Massafra, Vera Loizzi

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Nomogram risk prediction model for acute respiratory distress syndrome following acute kidney injury by Hui Lin, Hui Lin, Hui Lin, Yilin Ren, Yilin Ren, Yilin Ren, Jing Cui, Junnan Guo, Junnan Guo, Junnan Guo, Mengzhu Wang, Mengzhu Wang, Mengzhu Wang, Lihua Wang, Lihua Wang, Lihua Wang, Xiaole Su, Xiaole Su, Xiaole Su, Xi Qiao, Xi Qiao, Xi Qiao

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Development and application of an early prediction model for risk of bloodstream infection based on real-world study by Xiefei Hu, Shenshen Zhi, Yang Li, Yuming Cheng, Haiping Fan, Haorong Li, Zihao Meng, Jiaxin Xie, Shu Tang, Wei Li

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Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon by Niriele Bruno Rodrigues, Theresa Rocco Barbosa, Helena Saraiva Koenow Pinheiro, Marcelo Mancini, Quentin D. Read, Joshua Blackstock, Edwin H. Winzeler, David Miller, Phillip R. Owens, Zamir Libohova

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A Model for Predicting the Risk of Developing Drug-Induced Liver Injury During Therapy with Favipiravir by Yu. V. Shevchuk, I. V. Sychev, A. V. Kryukov, I. I. Temirbulatov, K. B. Mirzaev, N. P. Denisenko, Sh. P. Abdullaev, S. N. Tuchkova, V. I. Vechorko, O. V. Averkov, D. A. Sychev

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Analysis of influencing factors and construct a prediction model for postoperative intestinal obstruction of colorectal cancer by Wang Zhen, Chen Linyun, Wang Lin, He Hongqin, Mou Kaidong, Liu Feng

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Development of an explainable prediction model for portal vein system thrombosis post-splenectomy in patients with cirrhosis by Caixia Dong, Guodong Li, Rui Zhou, Dou Qu, Duwei Dai, Junxia Zhao, Lingbo An, Xiaojie Song, Jiazhen Zhu, Zong Fang Li

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Clinical characteristics of bronchopulmonary dysplasia and the risk of sepsis onset prediction via machine learning models by Yanhua Wang, Yanhua Wang, Yanhua Wang, Yanhua Wang, Yi Wang, Yi Wang, Yi Wang, Linhong Song, Jun Li, Jun Li, Jun Li, Yuanyuan Xie, Yuanyuan Xie, Yuanyuan Xie, Lei Yan, Lei Yan, Lei Yan, Siqi Hu, Siqi Hu, Siqi Hu, Zhichun Feng, Zhichun Feng, Zhichun Feng, Zhichun Feng

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Significance of the ARIMA epidemiological modeling to predict the rate of HIV and AIDS in the Kumba Health District of Cameroon by Arrey Emmanuel Besong, Odette Dzemo Kibu, Odette Dzemo Kibu, Odette Dzemo Kibu, Odette Dzemo Kibu, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Besong Agbor Obinkem, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Fabrice Chethkwo, Valentine Ndze Ngum, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Nkweteyim Denis, Nkweteyim Denis, Nkweteyim Denis, Nkweteyim Denis, Onduo Moise, Onduo Moise, Onduo Moise, Onduo Moise, Ayana Gelan, Ayana Gelan, Ayana Gelan, Ayana Gelan, Jude Dzevela Kong, Jude Dzevela Kong, Jude Dzevela Kong, Dickson Shey Nsagha, Dickson Shey Nsagha, Dickson Shey Nsagha, Dickson Shey Nsagha

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Predicting cardiac frequencies in mammals by Rui D. M. Travasso, Clint A. Penick, Robert R. Dunn, E. Corvera Poiré

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