A novel dynamic weighted prediction framework with stability-enhanced dynamic thresholding feature selection for neurodegenerative disease detection using gait features by Diksha Giri, Ranjit Panigrahi, Samrat Singh Bhandari, Moumita Pramanik, Akash Kumar Bhoi, Victor Hugo C. de Albuquerque

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A nomogram involving immune‐inflammation index for predicting distant metastasis‐free survival of major salivary gland carcinoma following postoperative radiotherapy by Wenbin Yan, Xiaomin Ou, Chunying Shen, Chaosu Hu

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Assessing climate change impacts on Pacific salmon and trout using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions. by Andrew R Spanjer, Andrew S Gendaszek, Elyse J Wulfkuhle, Robert W Black, Kristin L Jaeger

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An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China by Bo Liu, Bo Liu, Qiang Zhang, Qiang Zhang, Xin Li, Xin Li

“…The optimal model was integrated into an online risk assessment calculator.ResultsThe XGBoost model showed the highest predictive performance, with key features including age, smoking, fall history, TDF use, HIV viral load, vitamin D, hemoglobin, albumin, CD4 count, and lumbar spine BMD. …”
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A Data-Driven Framework for Accelerated Modeling of Stacking Fault Energy from Density of States Spectra by Md Tohidul Islam, Scott R. Broderick

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Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy by Wuyuan Liao, Wuyuan Liao, Wuyuan Liao, Xinwei Zhou, Xinwei Zhou, Hansen Lin, Hansen Lin, Zihao Feng, Zihao Feng, Xinyan Chen, Yuhang Chen, Yuhang Chen, Minyu Chen, Minyu Chen, Mingjie Lin, Mingjie Lin, Gaosheng Yao, Gaosheng Yao, Jinwei Chen, Jinwei Chen, Haoqian Feng, Haoqian Feng, Yinghan Wang, Yinghan Wang, Zhiping Tan, Zhiping Tan, Youyan Tan, Jun Lu, Jun Lu, Pengju Li, Pengju Li, Jinhuan Wei, Jinhuan Wei, Li Luo, Li Luo, Liangmin Fu, Liangmin Fu, Liangmin Fu

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Classifying Seismic Events Linked to Solar Activity: A Retrospective LSTM Approach Using Proton Density by Aizhan Altaibek, Marat Nurtas, Zhumabek Zhantayev, Beibit Zhumabayev, Ayazhan Kumarkhanova

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Liver Function Biomarkers and Lung Cancer Risk: A Prospective Cohort Study in the UK Biobank by Xiangyu Sun, Zeqin Guo, Yanpei Zhang, Zhuangzhuang Liu, Jingrong Xiong, Mingliang Cai, Jiale Tan, Yan Lin, Zihang Yu, Kunheng Du, Enli Lu, Xiaolin Xia

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Computed tomography enterography-based radiomics nomograms to predict inflammatory activity for ileocolonic Crohn’s disease: a preliminary single-center retrospective study by Yuping Ma, Luanxin Zhu, Bota Cui, Faming Zhang, Haige Li, Jianguo Zhu

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Comprehensive characterization of NK cell-related genes in cutaneous melanoma identified a novel prognostic signature for predicting the prognosis, immunotherapy, and chemotherapy... by Haili Ma, Jian Liu, Huan Jin, Min Zhang, Qian Liang, Zhiqiang Guo

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Does postoperative plasma IL-6 improve early prediction of infection after pulmonary cancer surgery? A two-centre prospective study. by Ted Reniers, Peter G Noordzij, Eelco J Veen, Erik F N Hofman, Anne Marlies Taselaar, W Anton Visser, Pim van der Heiden, Stefan Boeckx, Judith M A Emmen, Ineke M Dijkstra, Olaf L Cremer, Lisette M Vernooij, Thijs C D Rettig

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Prediction of induction chemotherapy efficacy in patients with locally advanced nasopharyngeal carcinoma using habitat subregions derived from multi-modal MRI radiomics by Mulan Pan, Lu Lu, Xingyu Mu, Xingyu Mu, Guanqiao Jin

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Exploring consumer intentions to purchase organic food with the health belief model and theory of planned behavior by Shrish Singh, Vijay Kumar Jain, Hemraj Verma, Preeti Sharma

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SbD4Skin by EosCloud: Integrating multi-view molecular representation for predicting skin sensitization, irritation, and acute dermal toxicity by Nikoletta-Maria Koutroumpa, Dimitra-Danai Varsou, Panagiotis D. Kolokathis, Maria Antoniou, Konstantinos D. Papavasileiou, Eleni Papadopoulou, Anastasios G. Papadiamantis, Andreas Tsoumanis, Georgia Melagraki, Milica Velimirovic, Antreas Afantitis

“…Comparative analyses indicate that this multi-view FCNN model offers superior or comparable predictive performance relative to single-representation models, achieving area under the curve (AUC) values of up to 0.91 for irritation/corrosion, 0.88 for sensitization, and 0.82 for acute dermal toxicity on test sets. …”
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Identification of Loci and Candidate Genes Associated with Arginine Content in Soybean by Jiahao Ma, Qing Yang, Cuihong Yu, Zhi Liu, Xiaolei Shi, Xintong Wu, Rongqing Xu, Pengshuo Shen, Yuechen Zhang, Ainong Shi, Long Yan

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Predicting the use of antibiotics after initial symptomatic treatment of an uncomplicated urinary tract infection: analyses performed after a randomised controlled trial by Ibrahimu Mdala, Morten Lindbaek, Ingvild Vik, Marianne Bollestad, Gloria Cristina Cordoba, Lars Bjerrum, Thomas Neumark, Eivind Damsgaard, Anders Bærheim, Nils Grude

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hs-CRP/HDL-C can predict the risk of all cause mortality in cardiovascular-kidney-metabolic syndrome stage 1-4 patients by Fengjiao Han, Haiyang Guo, Hao Zhang, Yang Zheng

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Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma by Shiyan Song, Wenfei Ge, Xiaochen Qi, Xiangyu Che, Qifei Wang, Guangzhen Wu

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Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening by Sofiya Vyshnya, Rachel Epperson, Felipe Giuste, Wenqi Shi, Andrew Hornback, May D. Wang

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Machine learning to evaluate the effects of non-clinical social determinant features in predicting colorectal Cancer mortality in a medically underserved Appalachian population by Aisha Montgomery, Ravi Vadapalli, Frank A. Dinenno, Josh Schilling, Praduman Jain, Aasems Jacob, David Chism, Anil Shanker

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