Pregnancy probability prediction models based on 5 machine learning algorithms and comparison of their performance by REN Chao, REN Chao, YANG Huan, ZHOU Niya, ZHOU Niya

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Winter Wheat Nitrogen Content Prediction and Transferability of Models Based on UAV Image Features by Jing Zhang, Gong Cheng, Shaohui Huang, Junfang Yang, Yunma Yang, Suli Xing, Jingxia Wang, Huimin Yang, Haoliang Nie, Wenfang Yang, Kang Yu, Liangliang Jia

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Analysis of risk factors for sepsis-related liver injury and construction of a prediction model by Yong He, Yong He, Yong He, Chi Wang, Chi Wang, Chi Wang, Wan He, Wan He, Wan He, He Zhang, He Zhang, He Zhang, Fei Ding, Fei Ding, Fei Ding, Ying Liu, Ying Liu, Ying Liu, He He, He He, He He, Binwu Ying, Binwu Ying, Binwu Ying, Xin Nie, Xin Nie, Xin Nie, Xin Nie

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Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate by Felipe Kenji Nakano, Anna Åkesson, Jasper de Boer, Klest Dedja, Robbe D’hondt, Fateme Nateghi Haredasht, Jonas Björk, Marie Courbebaisse, Lionel Couzi, Natalie Ebert, Björn O. Eriksen, R. Neil Dalton, Laurence Derain-Dubourg, Francois Gaillard, Cyril Garrouste, Anders Grubb, Lola Jacquemont, Magnus Hansson, Nassim Kamar, Christophe Legendre, Karin Littmann, Christophe Mariat, Toralf Melsom, Lionel Rostaing, Andrew D. Rule, Elke Schaeffner, Per-Ola Sundin, Arend Bökenkamp, Ulla Berg, Kajsa Åsling-Monemi, Luciano Selistre, Anders Larsson, Ulf Nyman, Antoine Lanot, Hans Pottel, Pierre Delanaye, Celine Vens

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Clinical ocular prediction model of postoperative ametropic amblyopia in patients with congenital ectopia lentis by Xinyue Wang, Xinyue Wang, Xinyue Wang, Xinyue Wang, Linghao Song, Linghao Song, Linghao Song, Yan Liu, Yan Liu, Yan Liu, Qiuyi Huo, Qiuyi Huo, Qiuyi Huo, Yang Sun, Yang Sun, Yang Sun, Zexu Chen, Zexu Chen, Zexu Chen, Wannan Jia, Wannan Jia, Wannan Jia, Xin Shen, Xin Shen, Xin Shen, Yalei Wang, Yalei Wang, Yalei Wang, Xinyao Chen, Xinyao Chen, Xinyao Chen, Tianhui Chen, Tianhui Chen, Tianhui Chen, Yongxiang Jiang, Yongxiang Jiang, Yongxiang Jiang, Rui Wang

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Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts by Kristen D. Brantley, Michael E. Jones, Rulla M. Tamimi, Bernard A. Rosner, Peter Kraft, Hazel B. Nichols, Katie M. O’Brien, Hans-Olov Adami, Amaia Aizpurua, Amy Berrington de González, William J. Blot, Tonje Braaten, Yu Chen, Jessica Clague DeHart, Laure Dossus, Sjoerd Elias, Renée T. Fortner, Montserrat Garcia-Closas, Inger T. Gram, Niclas Håkansson, Susan E. Hankinson, Cari M. Kitahara, Woon-Puay Koh, Martha S. Linet, Robert J. MacInnis, Giovanna Masala, Lene Mellemkjær, Roger L. Milne, David C. Muller, Hannah Lui Park, Kathryn J. Ruddy, Sven Sandin, Xiao-Ou Shu, Sandar Tin Tin, Thérèse Truong, Celine M. Vachon, Lars J. Vatten, Kala Visvanathan, Elisabete Weiderpass, Walter Willett, Alicja Wolk, Jian-Min Yuan, Wei Zheng, Dale P. Sandler, Minouk J. Schoemaker, Anthony J. Swerdlow, A. Heather Eliassen

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Long-Term Retrospective Predicted Concentration of PM_2.5 in Upper Northern Thailand Using Machine Learning Models by Sawaeng Kawichai, Patumrat Sripan, Amaraporn Rerkasem, Kittipan Rerkasem, Worawut Srisukkham

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

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Including the Past: Performance Modeling Using a Preload Concept by Means of the Fitness-Fatigue Model by Ludwig Melanie, Asteroth Alexander, Rasche Christian, Pfeiffer Mark

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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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Machine Learning for Non-Destructive Prediction of Sunflower Leaf Area by Joao Everthon da Silva Ribeiro, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Josiana Micarla da Silva Oliveira, Alessandra Nunes da Silva, John Victor Lucas Lima, Ivan Euzebio da Silva, Ester Dos Santos Coelho, Isaque de Oliveira Leite, Elania Freire da Silva, Toshik Iarley da Silva, Lindomar Maria da Silveira, Aurelio Paes Barros Junior

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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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Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Gonghe Basin by Hong Jia, Siqi Yang, Lianyou Liu, Hang Li, Zeshi Li, Yixin Chen, Jifu Liu

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Traffic Signal Optimization in Large-Scale Urban Road Networks: An Adaptive-Predictive Controller Using Ising Models by Daisuke Inoue, Hiroshi Yamashita, Kazuyuki Aihara, Hiroaki Yoshida

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Heating, Ventilation, and Air Conditioning (HVAC) Temperature and Humidity Control Optimization Based on Large Language Models (LLMs) by Xuanrong Zhu, Hui Li

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Application Deep Learning to Predict Crypto Currency Prices and their Relationship to Market Adequacy (Applied Research Bitcoin as an Example) by M. Kh. Abdalhammed, A. M. Ghazal, H. M. Ibrahim, A. Kh. Ahmed

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Prediction of cardinal temperature by nonlinear regression models in carrot (Daucus carota L.) and three common weed species by مرجان دیانت

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First-Order Decay Models for the Estimation of Methane Emissions in a Landfill in the Metropolitan Area of Oaxaca City, Mexico by Pérez Belmonte Nancy Merab, Sandoval Torres Sadoth, Belmonte Jiménez Salvador Isidro

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Detection of Cardiovascular Diseases Using Predictive Models Based on Deep Learning Techniques: A Hybrid Neutrosophic AHP-TOPSIS Approach for Model Selection by Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Franklin Parrales-Bravo, Cristhian Medina-Suarez, Wendy Yanez-Pazmino, David Zabala-Blanco, Maikel Y. Leyva-Vazquez

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Analysis of influencing factors and construction of predictive model for major gastrointestinal bleeding after receiving VTE prophylactic anticoagulants in non-tumor patients by Xiaoxue Fu, Huiya Ren, Yingbo Yang, Zhixue Niu, Linjie Zhang

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