A combined model integrating deep learning, radiomics, and clinical ultrasound features for predicting BRAF V600E mutation in papillary thyroid carcinoma with Hashimoto’s thyroidit... by Peng-Fei Zhu, Xiao-Feng Zhang, Pu Zhou, Jiang-Yuan Ben, Hao Wang, Shu-E Zeng, Xin-Wu Cui, Ying He

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Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models by Yasmine Gaaloul, Olfa Bel Hadj Brahim Kechiche, Houcine Oudira, Aissa Chouder, Mahmoud Hamouda, Santiago Silvestre, Sofiane Kichou

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Temperature-Dependent Kinetic Modeling of Nitrogen-Limited Batch Fermentation by Yeast Species by Artai R. Moimenta, Romain Minebois, David Henriques, Amparo Querol, Eva Balsa-Canto

“…Validated across five industrial <i>S. cerevisiae</i> strains in an illustrative example related to wine fermentation, the model exhibited strong predictive performance (NRMSE <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo><</mo><mn>10.5</mn><mo>%</mo></mrow></semantics></math></inline-formula>, median R²<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>></mo><mn>0.95</mn></mrow></semantics></math></inline-formula>) and enabled simulation-based process optimization, including nitrogen-supplementation strategies and strain selection for improved fermentation outcomes. …”
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Multimodal recurrence risk prediction model for HR+/HER2- early breast cancer following adjuvant chemo-endocrine therapy: integrating pathology image and clinicalpathological featu... by Xiaoyan Wu, Yiman Li, Jilong Chen, Jie Chen, Wenchuan Zhang, Xunxi Lu, Xiaorong Zhong, Min Zhu, Yuhao Yi, Hong Bu

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Risk prediction of QTc prolongation occurrence in cancer patients treated with commonly used oral tyrosine kinase inhibitors: machine learning modeling or conventional statistical... by Hsiang-Wen Lin, Tien-Chao Lin, Chien-Ning Hsu, Tzu-Pei Yeh, Yu-Chieh Chen, Liang-Chih Liu, Chen-Yuan Lin

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Clinical characteristics and prediction model of re-positive nucleic acid tests among Omicron infections by machine learning: a real-world study of 35,488 cases by Ying Cao, Tianhua Yao, Ronghao Li, Liang Tan, Zhixiong Zhang, Junsheng Qi, Rui Zhang, Yazhou Wu, Zhiqiang Chen, Changlin Yin

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Construction and validation of a risk stratification model based on Lung-RADS® v2022 and CT features for predicting the invasive pure ground-glass pulmonary nodules in China by Qingcheng Meng, Tong Liu, Hui Peng, Pengrui Gao, Wenda Chen, Mengjia Fang, Wentao Liu, Hong Ge, Renzhi Zhang, Xuejun Chen

“…Abstract Objectives A novel risk stratification model based on Lung-RADS® v2022 and CT features was constructed and validated for predicting invasive pure ground-glass nodules (pGGNs) in China. …”
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Prognostic analysis of sepsis-induced myocardial injury patients using propensity score matching and doubly robust analysis with machine learning-based risk prediction model develo... by Pan Guo, Pan Guo, Li Xue, Fang Tao, Kuan Yang, YuXia Gao, Chongzhe Pei

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Drop out prediction in sport centres. Definition of models and reproducibility (Predicción de bajas de clients en centros deportivos. Definición de modelos y reproducibilidad) by Iván Clavel San Emeterio, Jorge García-Unanue, Eliseo Iglesias-Soler, Leonor Gallardo, José Luis Felipe

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A nomogram prediction model for the comorbidity risk of myopia and neck and shoulder pain among primary and secondary school students in Nanjing city: a cross-sectional study by Juntong LI, Hui LIU, Sheng YE, Yue YANG, Xuelei LU, Li LIU

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Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data fro... by Simon Gilbody, Dean McMillan, Bob Phillips, Kym I E Snell, Richard D Riley, David A Richards, Jaime Delgadillo, Shehzad Ali, Chris Salisbury, Lewis W Paton, Lucinda Archer, Peter A Coventry, Stephen Pilling, Andrew S Moriarty, Joshua E J Buckman, Nick Meader, Carolyn A Chew Graham

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A model predicting the 6-year all cause mortality of patients with advanced schistosomiasis after discharge: Derived from a large population-based cohort study. by Lanyue Pan, Chunmei Wu, Ping Li, Jiaquan Huang, Yizhi Wu, Guo Li

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Accuracy comparison of dry matter intake prediction models evaluated by a feeding trial of lactating dairy cows fed two total mixed rations with different forage source by Xiao-hua PAN, Liang YANG, Beckers Yves, Ben-hai XIONG, Lin-shu JIANG

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A novel prognostic model utilizing TMTV and SUVmax from 18F-FDG PET/CT for predicting overall survival in patients with extranodal NK/T- cell lymphoma by Hua Wang, Demei Feng, Yiwen Mo, Huangming Hong, Yingying Hu, Li Huang, Xiaolei Wei, Yajun Li, Haibin Huang, Runhui Zheng, Yonghua Li, Hui Zeng, Robert Peter Gale, Tian Ying, Jing Guo, Zhenshu Xu, Wei Fan, Tongyu Lin

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Validation of machine learning-based models to predict and explain the risk of ovarian cancer: a multicentric study on BRCA-mutated patients undergoing risk-reducing salpingo-oopho... by Vera Loizzi, Vera Loizzi, Maria Colomba Comes, Francesca Arezzo, Adriana Ionelia Apostol, Adriana Ionelia Apostol, Samantha Bove, Annarita Fanizzi, Robert Fruscio, Robert Fruscio, Vanesa Gregorc, Francesco Legge, Rosanna Mancari, Claudia Marchetti, Claudia Marchetti, Serena Negri, Serena Negri, Giorgia Russo, Laura Vertechy, Giovanni Scambia, Giovanni Scambia, Raffaella Massafra, Gennaro Cormio, Gennaro Cormio

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Possibilities for predicting ventricular tachyarrhythmias in patients with heart failure with reduced ejection fraction based on surface electrocardiography. First results from a s... by N. N. Ilov, O. N. Surikova, S. A. Boytsov, D. A. Zorin, A. A. Nechepurenko

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Application of Machine Learning for Radiowave Propagation Modeling Below 6 GHz by Mohammud Z. Bocus, Afzal Lodhi

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Vessel Trajectory Prediction Using Vessel Influence Long Short-Term Memory with Uncertainty Estimation by Zhiyuan Guo, Huimin Qiang, Xiaodong Peng

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‘Made-in-transit’ yoghurt processing: a review of basic concepts and technological implications by M. A. R. Nor-Khaizura, S. H. Flint, O. J. McCarthy, J. S. Palmer, M. Golding, A. Jaworska

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RelaxVR: Cybersickness Reduction in Immersive Virtual Reality Through Explainable AI and Large Language Models by Ripan Kumar Kundu, Khaza Anuarul Hoque

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