Selection of an Optimal Metabolic Model for Accurately Predicting the Hepatic Clearance of Albumin-Binding-Sensitive Drugs by Ren-Jong Liang, Shu-Hao Hsu, Hsueh-Tien Chen, Wan-Han Chen, Han-Yu Fu, Hsin-Ying Chen, Hong-Jaan Wang, Sung-Ling Tang

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Risk factors and clinical prediction models for osteoporosis in pre-dialysis chronic kidney disease patients by Chaoying Kuang, Jingjie Shang, Mingming Ma, Shengling Huang, Bing Yan, Yuzhen Zhong, Baozhang Guan, Jian Gong, Fanna Liu, Liangmei Chen

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Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy by Haofang Zhang, Changbao Xu, Chenge Hu, Yunlai Xue, Daoke Yao, Yifan Hu, Ankang Wu, Miao Dai, Hang Ye

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Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model by Tingting Hu, Liheng Zhao, Xueling Zhao, Lin He, Xiaoli Zhong, Zhe Yin, Junjie Chen, Yanting Han, Ka Li

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A prediction model for differential resilience to the effects of combat‐related stressors in US army soldiers by Ronald C. Kessler, Robert M. Bossarte, Irving Hwang, Alex Luedtke, James A. Naifeh, Matthew K. Nock, Maria Petukhova, Ekaterina Sadikova, Nancy A. Sampson, Erik Sverdrup, Jose R. Zubizarreta, Stefan Wager, James Wagner, Murray B. Stein, Robert J. Ursano

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How accurately can supervised machine learning model predict a targeted psychiatric disorder? by Haitham Jahrami, Amir H. Pakpour, Waqar Husain, Achraf Ammar, Zahra Saif, Ali Husain Alsalman, Adel Aloffi, Khaled Trabelsi, Seithikurippu R. Pandi-Perumal, Michael V. Vitiello

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Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women by Yi-Xin Li, Yu Lu, Zhe-Ming Song, Yu-Ting Shen, Wen Lu, Min Ren

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Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response by Chi Zhou, Qian Qiu, Xinyu Liu, Tiantian Zhang, Leilei Liang, Yihang Yuan, Yufo Chen, Weijie Sun

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Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children by Jintuo Zhou, Yongjin Xie, Ying Liu, Peiguang Niu, Huajiao Chen, Xiaoping Zeng, Jinhua Zhang

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Prediction model for unplanned extubation of thoracoabdominal drainage tube in postoperative inpatients: a retrospective study by Yushu Sun, Xiuping Li, Jia Xu, Xiaojie Zhang, Fanglei Gu, Hongying Pan

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Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction by Chenxi Wang, Weiwei Zhang, Ming Ni, Qiong Wang, Chang Liu, Linbin Dai, Mengguo Zhang, Yong Shen, Feng Gao

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Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

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Risk prediction models for dental caries in children and adolescents: a systematic review and meta-analysis by Peng Zhang, Kang Li, Xijia Wang, Huifei Lu, Dandan Luo, Dunhui Yang, Shuqi Qiu, Haotao Zeng, Xianhai Zeng

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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

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Yield Prediction Models for Rice Varieties Using UAV Multispectral Imagery in the Amazon Lowlands of Peru by Diego Goigochea-Pinchi, Maikol Justino-Pinedo, Sergio S. Vega-Herrera, Martín Sanchez-Ojanasta, Roiser H. Lobato-Galvez, Manuel D. Santillan-Gonzales, Jorge J. Ganoza-Roncal, Zoila L. Ore-Aquino, Alex I. Agurto-Piñarreta

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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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