Two Machine-learning Hybrid Models for Predicting Type 2 Diabetes Mellitus by Rahman Farnoosh, Karlo Abnoosian, Rasha Abbas Isewid

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Regression models for predicting the effect of trash rack on flow properties at power intakes by Shuguang Li, Sultan Noman Qasem, Hojat Karami, Ely Salwana, Alireza Rezaei, Danyal Shahmirzadi, Shahab S. Band

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Construction and verification of a predictive model for depression risk of patients with somatization symptoms by Liming Tang, Jinrong Zhong, Mei’e Zeng, Weiwei Deng, Chunmei Huang, Shuifen Ye, Fengjin Li, Dongqin Lai, Wanling Huang, Bin Chen, Xiaoyuan Deng, Xiaoying Lai, Lirong Wu, Bilan Zou, Hanzhong Qiu, Ying Liao

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Risk factors and prediction model for carbapenem-resistant organism infection in sepsis patients by Ronghua Liu, Xiang Li, Jie Yang, Yue Peng, Xiaolu Liu, Chanchan Tian

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A method for predicting postpartum depression via an ensemble neural network model by Yangyang Lin, Dongqin Zhou

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A machine learning-based model for predicting survival in patients with Rectosigmoid Cancer. by Yifei Wang, Bingbing Chen, Jinhai Yu

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Development and validation of prediction models for diabetic retinopathy in type 2 diabetes patients. by Shadi Naderyan Feˈli, Mohammad Hassan Emamian, Mehdi Yaseri, Hamid Riazi-Esfahani, Hassan Hashemi, Akbar Fotouhi, Kamran Yazdani

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Advanced air quality prediction using multimodal data and dynamic modeling techniques by Umesh Kumar Lilhore, Sarita Simaiya, Rajesh Kumar Singh, Abdullah M. Baqasah, Roobaea Alroobaea, Majed Alsafyani, Afnan Alhazmi, M. D. Monish Khan

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Comparison of Machine Learning and Deep Learning Models Performance in predicting wind energy by Saswati Rakshit, Anal Ranjan Sengupta

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The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model by Jiaxin Wang, Ying Yang, Xian Yang, Yulong Lu, Yang Liu, Da Hu, Yongjia Hu

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Predicting in-hospital mortality in ICU patients with lymphoma using machine learning models. by Ling Xu, Guang Tu, Zhonglan Cai, Tianbi Lan

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Soil Moisture Prediction Using the VIC Model Coupled with LSTMseq2seq by Xiuping Zhang, Xiufeng He, Rencai Lin, Xiaohua Xu, Yanping Shi, Zhenning Hu

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Apply Ridge Regression Model to Predict the Lateral Velocity Difference of Tight Reservoirs by HAN Longfei, ZHANG Yongfei, WANG Miaomiao, LI Yu

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Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression by Lindsay L. Benster, Cory R. Weissman, Federico Suprani, Kamryn Toney, Houtan Afshar, Noah Stapper, Vanessa Tello, Louise Stolz, Mohsen Poorganji, Zafiris J. Daskalakis, Lawrence G. Appelbaum, Jordan N. Kohn

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Performance of deep learning models in predicting the nugent score to diagnose bacterial vaginosis by Naoki Watanabe, Tomohisa Watari, Kenji Akamatsu, Isao Miyatsuka, Yoshihito Otsuka

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Prediction models used in the progression of chronic kidney disease: A scoping review. by David K E Lim, James H Boyd, Elizabeth Thomas, Aron Chakera, Sawitchaya Tippaya, Ashley Irish, Justin Manuel, Kim Betts, Suzanne Robinson

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Proposing a machine learning-based model for predicting nonreassuring fetal heart by Nasibeh Roozbeh, Farideh Montazeri, Mohammadsadegh Vahidi Farashah, Vahid Mehrnoush, Fatemeh Darsareh

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Predicting DNA Reactions with a Quantum Chemistry‐Based Deep Learning Model by Likun Wang, Na Li, Mengyao Cao, Yun Zhu, Xiewei Xiong, Li Li, Tong Zhu, Hao Pei

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Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models by Soud Khalil Ibrahim, Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav, Soumya V. Menon, Debasish Shit, S. Supriya, Rajashree Panigrahi, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Hiba Mushtaq

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Parameter-Efficient Adaptation of Large Vision—Language Models for Video Memorability Prediction by Iván Martín-Fernández, Sergio Esteban-Romero, Fernando Fernández-Martínez, Manuel Gil-Martín

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