Metabolomic-genomic prediction realizes small increases in accuracy of estimated breeding values for daily gain in pigs by Xiangyu Guo, Pernille Sarup, Anders Bay Nord, Mark Henryon, Tage Ostersen, Ole F. Christensen

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A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data by Dailiang Peng, Enhui Cheng, Xuxiang Feng, Jinkang Hu, Zihang Lou, Hongchi Zhang, Bin Zhao, Yulong Lv, Hao Peng, Bing Zhang

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Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data by Salha Al-Ahmari, Farrukh Nadeem

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Predicting clinical outcome in posterior circulation large-vessel occlusion patients with endovascular recanalisation: the GNC score by Wei Li, Jing Qiu, Thanh Nguyen, Hui-Sheng Chen, Jia-Qi Wang, Si-Qi Qiu

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NK cell exhaustion in Wilson’s disease revealed by single-cell RNA sequencing predicts the prognosis of cholecystitis by Yong Jin, Jiayu Xing, Chenyu Dai, Lei Jin, Wanying Zhang, Qianqian Tao, Mei Hou, Ziyi Li, Wen Yang, Qiyu Feng, Hongyang Wang, Qingsheng Yu

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Mixture of Experts for Depression and Anxiety Disorder Prediction From Textual and Non-Textual Social Media Data by Wesley Ramos Dos Santos, Ivandre Paraboni, Elton Hiroshi Matsushima, Camila Azevedo Da Silva, Emily Samara De Moura Meira, Joao Victor Rodrigues Ferreira Guimaraes, Julia Da Silva Lins, Laura Enham De Azeredo, Luiz Guilherme Cerqueira Nunes, Vittoria Thiengo Silveira Moreira Rego

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Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis by Doreen Phiri, Frank Makowa, Vivi Leona Amelia, Yohane Vincent Abero Phiri, Lindelwa Portia Dlamini, Min-Huey Chung

“…ConclusionsSocial media textual content can be a useful tool for predicting depression. Demographics, language, social media activity, and temporal features should be considered to maximize the accuracy of depression prediction models. …”
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Prediction and analysis of flow behavior during gas kicks considering wellbore–formation coupling and gas solubility by Yu Su, Yu Su, Huiyun Ma, Lianbin Xia, Chi Peng, Jianhua Guo, Xinyu Shen, Jianhong Fu, Yijia Tang

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A predictive study of factors associated with burnout, compassion fatigue, and moral distress among emergency nurses by Salman Amish Alshammari, Chandrakala Sankarapandian, Eddieson Pasay an, Ayed Amesh Alshammary, Analita Gonzales, Jeneth Gutierrez, Maha Sanat Alreshidi, Nojoud Abdullah Alrashidi, Petelyne Pangket, Dolores Cabansag, Sameer Alkubati, Romeo Mostoles, Grace Ann Lagura, Sattam Hameed Albarak, Reynita Saguban

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Topographic Position Index Predicts Within-Field Yield Variation in a Dryland Cereal Production System by Jacob A. Macdonald, David M. Barnard, Kyle R. Mankin, Grace L. Miner, Robert H. Erskine, David J. Poss, Sushant Mehan, Adam L. Mahood, Maysoon M. Mikha

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A nomogram to predict the risk of relapse in patients with minimal change disease: a retrospective cohort study by Lefeng Wang, Qinfan Yao, Ying Zhang, Xuan Zhang, Mengjie Hu, Jianpeng Chen, Xiayu Li, Jianghua Chen, Heng Li

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The predictive value of MUC5AC levels in the sputum of children with Mycoplasma pneumoniae pneumonia treated with fiberbronchoscopy by Xiao-qing Jian, Miao Li, Xiao-yan Wang

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Evaluating the Predictive Value of HOMA-IR in Gestational Diabetes: A Case–Control Study from Romania by Ait el Haj Iman, Cristina Onel, Gheorghe Furau, Cristian Furau, Roxana Furau, Mihai Lucan, Mircea Sandor, Liliana Sachelarie, Anca Huniadi

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Comprehensive risk factor-based nomogram for predicting one-year mortality in patients with sepsis-associated encephalopathy by Guangyong Jin, Menglu Zhou, Jiayi Chen, Buqing Ma, Jianrong Wang, Rui Ye, Chunxiao Fang, Wei Hu, Yanan Dai

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Impact of climate change on the waters off southwest Taiwan: predicted alterations in moonfish distribution and catch rates by Aratrika Ray, Sandipan Mondal, Sandipan Mondal, Ming-An Lee, Ming-An Lee, Ming-An Lee, Quang-Huy Lu, Riah Irawati Sihombing, Yi-Chen Wang

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Prediction of heart failure risk factors from retinal optical imaging via explainable machine learning by Sona M. Al Younis, Samit Kumar Ghosh, Hina Raja, Feryal A. Alskafi, Siamak Yousefi, Siamak Yousefi, Ahsan H. Khandoker

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The predictive value of the preoperative albumin‐to‐fibrinogen ratio for postoperative hospital length of stay in liver cancer patients by Fang Li, Yuetong Ren, Jiacheng Fan, Jin Zhou

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Predicting Olive Tree Chlorophyll Fluorescence Using Explainable AI with Sentinel-2 Imagery in Mediterranean Environment by Leonardo Costanza, Beatriz Lorente, Francisco Pedrero Salcedo, Francesco Pasanisi, Vincenzo Giannico, Francesca Ardito, Carlota María Martí Martínez, Simone Pietro Garofalo

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Improving rice yield prediction with multi-modal UAV data: hyperspectral, thermal, and LiDAR integration by Shaofeng Tan, Jie Pei, Yaopeng Zou, Huajun Fang, Tianxing Wang, Jianxi Huang

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An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records by Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu

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