Accuracy of Machine Learning in Predicting Post‐Stroke Depression: A Systematic Review and Meta‐Analysis by Husile Husile, Qinglin Bao, Sarula Sarula, Chu La, Wujisiguleng Wujisiguleng, Siqintu Siqintu, Temuqile Temuqile

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Assessment of risk factors related to early occurrence of deep vein thrombosis after TBI using nomogram model by Wei Hao, Jiancheng Feng, Hongliang Luo, Ruifang Ma, Xuan Lu, Dongsheng Xiong, Yong Liu

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Procalcitonin and biomarkers for stroke-associated pneumonia: a systematic review and meta-analysis by Yuan Wang, Tingting Wang, Shouqin Hu, Yuntao Cheng, Chongyue Du, Guolong Xu

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A novel nomogram to predict the risk of requiring mechanical ventilation in patients with sepsis within 48 hours of admission: a retrospective analysis by Bin Wang, Jian Ouyang, Rui Xing, Jiyuan Jiang, Manzhen Ying

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Comparison between Logistic Regression and K-Nearest Neighbour Techniques with Application on Thalassemia Patients in Mosul by Mohammed Al jbory, Hutheyfa Taha

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Prediction of recurrence-free survival and risk factors of sinonasal inverted papilloma after surgery by machine learning models by Siyu Miao, Yang Cheng, Yaqi Li, Xiaodong Chen, Fuquan Chen, Dingjun Zha, Tao Xue

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Machine learning-based prediction of mortality risk in AIDS patients with comorbid common AIDS-related diseases or symptoms by Yiwei Chen, Kejun Pan, Xiaobo Lu, Erxiding Maimaiti, Maimaitiaili Wubuli

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Two decades of cropland monitoring in Changsha-Zhuzhou-Xiangtan city group: trends and future predictions by Wenbo Zhang, Dazhao Fan, Song Ji, Yang Dong, Dongzi Li, Ming Li

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Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients by Xiang Su, Ling Sun, Xiaogang Sun, Quanguo Zhao

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Machine learning-based prediction model for arteriovenous fistula thrombosis risk: a retrospective cohort study from 2017 to 2024 by Peng Shu, Ling Huang, Xia Wang, Zhuping Wen, Yiqi Luo, Fang Xu

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Persistent cough after segmental resection, an issue that clinicians need to pay more attention to by He Guan, Zhijun Han, Qifei Wan, Qiangwen Huang, Li Wei, Jiwei Li

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Performance of CAC-prob in predicting coronary artery calcium score: an external validation study in a high-CAC burden population by Pakpoom Wongyikul, Phichayut Phinyo, Pannipa Suwannasom, Apichat Tantraworasin, Chanikan Srikuenkaew, Pichyapa Jira, Kempiya Pornpipatsakul, Arachaporn Ngachuea, Phansa Chanthanom, Kanogphol Prayongkul, Warisara Chavalitjiraphan, Thitirat Rattananalin, Surasak Saokaew

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Progression risk of adolescent idiopathic scoliosis based on SHAP-Explained machine learning models: a multicenter retrospective study by Xinyi Fang, Ting Weng, Zhehao Zhang, Wanfeng Gong, Yu Zhang, Mei Wang, Jianhua Wang, Zhongxiang Ding, Can Lai

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A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression. by Daniel A Llano, Saurabh Bundela, Raksha A Mudar, Viswanath Devanarayan, Alzheimer’s Disease Neuroimaging Initiative (ADNI)

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A Chinese prospective cohort research developed and validated a risk prediction model for patients with cervical cancer by Li Yuan, Baogang Wen, Xiuying Li, Haike Lei, Dongling Zou, Qi Zhou

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Differentiation of multiple adrenal adenoma subtypes based on a radiomics and clinico-radiological model: a dual-center study by Xinzhang Zhang, Yapeng Si, Xin Shi, Yiwen Zhang, Liuyang Yang, Junfeng Yang, Ye Zhang, Jinjun Leng, Pingping Hu, Hao Liu, Jiaqi Chen, Wenliang Li, Wei Song, Jianping Zhu, Maolin Yang, Wei Li, Junfeng Wang

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Development and internal validation of a nomogram for sleep quality among Chinese medical students: a cross-sectional study by Zhen Lv, Hao Xu, Jun Chen, Handong Yang, Jishun Chen, Dongfeng Li, Ying Wang, Huailan Guo, Ningrui Zhang, Zhixin Liu, Xinwen Min, Wenwen Wu

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ScTCN-LightGBM: a hybrid learning method via transposed dimensionality-reduction convolution for loading measurement of industrial material by Zihua Chen, Runmei Zhang, Zhong Chen, Yu Zheng, Shunxiang Zhang

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Dynamical Precursors for Statistical Prediction of Stratospheric Sudden Warming Events by M. Jucker, T. Reichler

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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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