Study on the relationship between surface water and groundwater transformation in the middle and lower reaches of Songhua river basin by Xiao Yang, Changlei Dai, Jianyu Jing, Gengwei Liu, Qing Ru, Jiajun Li, Peixian Liu

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Artificial Intelligence for Predicting Delivery Modes: A Systematic Review of Applications, Challenges, and Future Directions by Yu Zhou, Jing Li, Xiaomei Hou, Zhen Li, Yanan Xu, Yan Wang, Mingze Sun, Fumin Zheng, Enhui Guo, Jun Zhou

“…Results: Analysis of existing studies demonstrates that AI models outperform conventional statistical methods in predicting delivery modes, highlighting their potential as valuable tools in obstetric diagnosis and clinical decision-making. …”
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A predictive nomogram for assessing the likelihood of retrieving 12 lymph nodes after rectal cancer surgery: a single-center study by Jian Ma, Runyang Hao, Shuai Jiao, Qingmin Chen, Baohong Yang, Xu Guan, Jiale Li, Xinxuan Zhao, Yu Huo, Qingxia Xu, Haiyi Liu, Wen Su, Xishan Wang

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Identification of PANoptosis related biomarkers to predict hepatic ischemia‒reperfusion injury after liver transplantation by Zhihong Chen, Junwei Zhang, Lei Zhang, Yaoge Liu, Ting Zhang, Xinting Sang, Yiyao Xu, Xin Lu

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Study on the Evolution and Prediction of Land Use and Landscape Patterns in the Jianmen Shu Road Heritage Area by Chenmingyang Jiang, Xinyu Du, Jun Cai, Hao Li, Qibing Chen

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Genetic analysis of predicted vegetative biomass and biomass‐related traits from digital phenotyping of strawberry by Cheryl Dalid, Caiwang Zheng, Luis Osorio, Sujeet Verma, Amr Abd‐Elrahman, Xu Wang, Vance M. Whitaker

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Soybean Water Monitoring and Water Demand Prediction in Arid Region Based on UAV Multispectral Data by Shujie Jia, Mingyi Cui, Lei Chen, Shangyuan Guo, Hui Zhang, Zheyu Bai, Yaoyu Li, Linqiang Deng, Fuzhong Li, Wuping Zhang

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Predicting Risk Factors for Dyslipidemia Based on Health Behaviors by Age in Adults Using Machine Learning by Jin-Hui Ku, Jong-Suk Kim, Kwang-Hwan Kim

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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

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Spatial-temporal radiogenomics in predicting neoadjuvant chemotherapy efficacy for breast cancer: a comprehensive review by Tingfeng Zhang, Liang Zhao, Tingting Cui, Yi Zhou, Peifen Li, Chuqiao Luo, Junkang Wei, Hong Hu

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Exploring machine learning algorithms for predicting fertility preferences among reproductive age women in Nigeria by Zinabu Bekele Tadese, Teshome Demis Nimani, Kusse Urmale Mare, Fetlework Gubena, Ismail Garba Wali, Jamilu Sani

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Heterogeneous hematoma density predicts poor outcome in patients with supratentorial intracerebral hemorrhage after craniotomy by Li Luo, Yuanyuan Fu, Likun Wang, Jinhua Yang, Guofeng Wu, Siying Ren, Lian He, Shiqi Lin, Yuanyi Liu

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Exploring metabolomics for colorectal cancer risk prediction: evidence from the UK Biobank and ESTHER cohorts by Teresa Seum, Rafael Cardoso, Joshua Stevenson-Hoare, Bernd Holleczek, Ben Schöttker, Michael Hoffmeister, Hermann Brenner

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Elevated SAMD3 expression in T cells predicts improved survival in pancreatic ductal adenocarcinoma patients by Lingyi Fu, Enliang Zhou, Shuo Li, Ziteng Li, Liyan Wu, Xinxin Zhou, Lang Tian, Bokang Cui

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Predicting reperfusion injury and functional status after stroke using blood biomarkers: the STROKELABED study by Alessia Vignoli, Elena Sticchi, Benedetta Piccardi, Vanessa Palumbo, Cristina Sarti, Alessandro Sodero, Francesco Arba, Enrico Fainardi, Anna Maria Gori, Betti Giusti, Ada Kura, Leonardo Tenori, Marzia Baldereschi

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Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy by Mehdi Eslamifar, Hamed Tavakoli, Eiko Thiessen, Rainer Kock, José Correa, Eberhard Hartung

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The role of functioning in predicting nursing home placement or death among older home care patients by Eeva Björkstedt, Ari Voutilainen, Kati Auvinen, Virva Hyttinen, Johanna Jyrkkä, Pekka Mäntyselkä, Eija Lönnroos

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Using the Pearson’s correlation coefficient as the sole metric to measure the accuracy of quantitative trait prediction: is it sufficient? by Shouhui Pan, Shouhui Pan, Zhongqiang Liu, Zhongqiang Liu, Yanyun Han, Yanyun Han, Dongfeng Zhang, Dongfeng Zhang, Xiangyu Zhao, Xiangyu Zhao, Jinlong Li, Jinlong Li, Kaiyi Wang, Kaiyi Wang

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Evaluating the CURB-65 score for in-hospital mortality prediction in COVID-19 patients: insights into dysglycaemia by Farzahna Mohamed, Frederick Raal, Aletta Millen, Brent A Prim, Jarrod Zamparini, Ismail Sikander Kalla

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Combining information from common type 2 diabetes risk polymorphisms improves disease prediction. by Michael N Weedon, Mark I McCarthy, Graham Hitman, Mark Walker, Christopher J Groves, Eleftheria Zeggini, N William Rayner, Beverley Shields, Katharine R Owen, Andrew T Hattersley, Timothy M Frayling

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