Predictive Factors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Graft Surgery based on Machine Learning Methods by Alireza Jafarkhani, Behzad Imani, Soheila Saeedi, Amir Shams

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Integrating customer-based brand equity and the theory of planned behavior to predict electric vehicle adoption in China: The moderating role of perceived price. by Chuan Zheng, Danling Sun, Munirah Khamarudin, Azanin Ahmad, Han Wei, Jie Xu

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Optimizing the selection of quantitative traits in plant breeding using simulation by Rafael Augusto Vieira, Ana Paula Oliveira Nogueira, Roberto Fritsche-Neto

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Proposed Comprehensive Methodology Integrated with Explainable Artificial Intelligence for Prediction of Possible Biomarkers in Metabolomics Panel of Plasma Samples for Breast Canc... by Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

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ImmuProgML: machine learning-based dissection of cancer-immune dynamics during tumor progression to improve immunotherapy by Hanxiao Zhou, Lan Mei, Qianyi Lu, Yakun Zhang, Yue Sun, Caiyu Zhang, Han Jiang, Jiajun Zhou, Xia Li, Yunpeng Zhang, Shangwei Ning

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Effects of population aging on quality of life and disease burden: a population-based study by Jun-Yan Xi, Bo-Heng Liang, Wang-Jian Zhang, Bo Yan, Hang Dong, Yuan-Yuan Chen, Xiao Lin, Jing Gu, Yuan-Tao Hao

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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…The source code utilized in this study is publicly accessible at https://doi.org/10.5281/zenodo.15355131.…”
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Liver metastases in thyroid cancer: epidemiology, risk stratification and survival outcomes in the immunotherapy era by Ming-Lu Xu, Yang-Yang Wang, Li-Ping Xie, Ning Ding, Jia-Jun Hui

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Assessing Nutrient Losses and Recycling in Sweet Cherry Orchards: A Yield-Based Approach by Ilias Karampatzakis, Fotis Bilias, Chrysanthi Polychroniadou, Georgia Tanou, Panagiotis Kekelis, Aphrodite Theofilidou, Georgios Giannopoulos, Athina Pavlatou-Ve, Vassilis Aschonitis

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Ensemble Learning for Spatial Modeling of Icing Fields from Multi-Source Remote Sensing Data by Shaohui Zhou, Zhiqiu Gao, Bo Gong, Hourong Zhang, Haipeng Zhang, Jinqiang He, Xingya Xi

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DIALYSIS START TIMING: DEVELOPMENT AND VALIDATION OF START SCORING SCALE by A. Yu. Zemchenkov, R. P. Gerasimchuk, A. B. Sabodash, K. A. Vishnevskii, G. A. Zemchenkov, A. M. Omelchenko, N. N. Kulaeva, I. N. Konakova, A. A. Yakovenko, A. Sh. Rumyantsev

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Data Fusion and Dimensionality Reduction for Pest Management in Pitahaya Cultivation by Wilson Chango, Mónica Mazón-Fierro, Juan Erazo, Guido Mazón-Fierro, Santiago Logroño, Pedro Peñafiel, Jaime Sayago

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Development and validation of a nomogram for predicting in-hospital mortality in older adult hip fracture patients with atrial fibrillation: a retrospective study by Zhenli Li, Jing He, Tiezhu Yao, Guang Liu, Jing Liu, Ling Guo, Mengjia Li, Mengjia Li, Zhengkun Guan, Zhengkun Guan, Ruolian Gao, Jingtao Ma

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A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data by Francisco Javier Jara Ávila, Timothy Verstraeten, Pieter Jan Daems, Ann Nowé, Jan Helsen

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Predicting postpartum female sexual interest/arousal disorder via adiponectin and biopsychosocial factors: a cohort-based decision tree study by Saiedeh Sadat Hajimirzaie, Najmeh Tehranian, Amin Golabpour, Ahmad Khosravi, Seyed Abbas Mousavi, Afsaneh Keramat, Mehdi Mirzaii

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Combined single-cell RNA-seq and bulk RNA-seq construction of M2 TAMs signature for predicting HNSCC prognosis and immunotherapy by Jiale Wang, Huan Li, Mingrui Shi, Chenghao Ren, Wu Wei, Qi Zhao, Xinxin He, Zihui Yang, Jianhua Wei, Xinjie Yang

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Predictive value of image indexes of B-mode and power Doppler sonography on the efficacy of high intensity focused ultrasound ablation for uterine fibroids by Xiaohui Chen, Guohua Huang, Lian Zhang, Jin Bai

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Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study by Audêncio Victor, Francielly Almeida, Sancho Pedro Xavier, Patrícia H.C. Rondó

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Predicting the Potential Distribution of a Rodent Pest, Brown Rat (Rattus norvegicus), Associated With Changes in Climate and Land Cover in South Korea by Binod Kunwar, Suraj Baral, Young‐Hun Jeong, Seon‐Mi Park, Sung‐Hwan Choi, Hong‐Shik Oh

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Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study by Jiao Wang, Jianrong Chen, Ying Liu, Jixiong Xu

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