A CT-based subregional radiomics nomogram for predicting local recurrence-free survival in esophageal squamous cell cancer patients treated by definitive chemoradiotherapy: a multi... by Jie Gong, Jianchao Lu, Wencheng Zhang, Wei Huang, Jie Li, Zhi Yang, Fan Meng, Hongfei Sun, Lina Zhao

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Development and validation of a nomogram for in-hospital mortality prediction in acute myocardialinfarction patients with cardiac arrest undergoing percutaneous coronary interventi... by Haina Li, Mingxuan Duan, Guoyu Duan, Yan Zhou, Xiaoyan Zhao

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Quick sequential organ failure assessment score combined with other sepsis-related risk factors to predict in-hospital mortality: Post-hoc analysis of prospective multicenter study... by Ryo Ueno, Takateru Masubuchi, Atsushi Shiraishi, Satoshi Gando, Toshikazu Abe, Shigeki Kushimoto, Toshihiko Mayumi, Seitaro Fujishima, Akiyoshi Hagiwara, Toru Hifumi, Akira Endo, Takayuki Komatsu, Joji Kotani, Kohji Okamoto, Junichi Sasaki, Yasukazu Shiino, Yutaka Umemura

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The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe. by Ali Safdari, Chanda Sai Keshav, Deepanshu Mody, Kshitij Verma, Utsav Kaushal, Vaadeendra Kumar Burra, Sibnath Ray, Debashree Bandyopadhyay

“…The meta-validation on the external performances revealed the reliability of the performance (AUC score 86%) along with good accuracy of the probabilistic prediction (Brier score 14%), particularly when the model was trained and tested on fourteen haematological parameters from the same country (Brazil). …”
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Sentinel lymph node biopsy for oral tongue squamous cell carcinoma cT1–2N0: prospective single-center study by M. A. Kotov, Z. A.‑G. Radzhabova, S. N. Novikov, P. I. Krzhivitsky, O. I. Ponomareva, E. V. Kostromina, V. А. Kushnarev, M. A. Radzhabova

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Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key c... by Nicholas Pudjihartono, Daniel Ho, Justin Martin O’Sullivan

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Neutrosophic Logic to Navigate Uncertainty of Security Events in Mexico by Mohammad Saif Wajid, Hugo Terashima-Marin, Mohd Anas Wajid, Florentin Smarandache, Satya Bhushan Verma, Mohammad Kaif Wajid

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Enhancing High-Temperature Prediction via Sixfold Strategy Consensus-Reaching Processes: A Case Study Using FY-3E Spatiotemporal Remote Sensing Satellite Data by Chao Zhang, Haonan Hou, Arun Kumar Sangaiah, Deyu Li, Wentao Li

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Machine learning-based radiomic features of perivascular adipose tissue in coronary computed tomography angiography predicting inflammation status around atherosclerotic plaque: a... by Kunlin Ye, Lingtao Zhang, Hao Zhou, Xukai Mo, Changzheng Shi

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Revisiting the Replication Crisis and the Untrustworthiness of Empirical Evidence by Aris Spanos

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Personalized prediction of breast cancer candidates for Anti-HER2 therapy using 18F-FDG PET/CT parameters and machine learning: a dual-center study by Zhenguo Sun, Jianxiong Gao, Wenji Yu, Xiaoshuai Yuan, Peng Du, Peng Chen, Yuetao Wang

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Numerical Approximation Tool Prediction on Potential Broad Application of Subsurface Vertical Flow Constructed Wetland (SSVF CW) Using Chromium and Arsenic Removal Efficiency Study... by Manoj Kumar, Sohail Ayub, Nadeem Khalil, Mohammad Baquir

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A Multi-Stage Framework for Kawasaki Disease Prediction Using Clustering-Based Undersampling and Synthetic Data Augmentation: Cross-Institutional Validation with Dual-Center Clinic... by Heng-Chih Huang, Chuan-Sheng Hung, Chun-Hung Richard Lin, Yi-Zhen Shie, Cheng-Han Yu, Ting-Hsin Huang

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Combining systemic inflammation biomarkers with traditional prognostic factors to predict surgical site infections in elderly hip fracture patients: a risk factor analysis and dyna... by Yuhui Guo, Chengsi Li, Haichuan Guo, Peiyuan Wang, Xuebin Zhang

“…Multivariable logistic regression identified independent risk factors for SSI and developed predictive nomograms. Model stability was validated using an external set of patients treated from July 2022 to June 2023. …”
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Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, S... by Olivier Raspado, Michel Brack, Olivier Brack, Mélanie Vivancos, Aurélie Esparcieux, Emmanuelle Cart-Tanneur, Abdellah Aouifi

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Exploring and Predicting HIV Preexposure Prophylaxis Adherence Patterns Among Men Who Have Sex With Men: Randomized Controlled Longitudinal Study of an mHealth Intervention in West... by Bing Lin, Jiayan Li, Jiaxiu Liu, Wei He, Haiying Pan, Xiaoni Zhong

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A lipid metabolism-related gene signature predicts prognosis after tamoxifen treatment in ER + breast cancer and reflects tumor microenvironment heterogeneity through single-cell a... by Linxiaoxi Ma, Bei Qian, Chen Peng, Gang Liu, Hao Shen

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Machine-Learning-Assisted Aroma Profile Prediction in Five Different Quality Grades of Nongxiangxing Baijiu Fermented During Summer Using Sensory Evaluation Combined with GC×GC–TOF... by Dongliang Shao, Wei Cheng, Chao Jiang, Tianquan Pan, Na Li, Mengmeng Li, Ruilong Li, Wei Lan, Xianfeng Du

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Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-... by Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

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Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive e... by Yan Hong, Xinrong Chen, Ling Wang, Fan Zhang, ZiYing Zeng, Weining Xie

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