Hypertension a Predictive Risk Factor on Progression to Alzheimer’s Disease Using APOEε4 as a Benchmark by Mingfei Li, Ying Wang, Lewis Kazis, Weiming Xia

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Higher accuracy estimation of the weighted mean temperature (tm) with the aid of machine learning and NWP model by Mingyun Hu, Junyu Li, Chaolong Yao, Feijuan Li, Lilong Liu, Liangke Huang, Yuxin Wang

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Abstract 061: Identification of Proteins Predictive of Post‐Thrombectomy Outcome Based on an Appalachian vs. Non‐Appalachian Cohort by Benton Maglinger

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Predictive Value of Ankle Fracture for Osteoporosis at the Fracture Liaison Service Is Dependent on Gender and May Be Related to Alcohol Use by James McMullan, Emeir McSorley, Rhonda Hunter, Denise Pattison, David Armstrong

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Predictive nomograms of repeat intrahepatic recurrence and overall survival after radiofrequency ablation of recurrent colorectal liver metastases by Ji-Chen Wang, Bin-Bin Jiang, Zhong-Yi Zhang, Yu-Hui Liu, Li-Jin Shao, Song Wang, Wei Yang, Wei Wu, Kun Yan

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Exploring the predictive values of CRP and lymphocytes in coronary artery disease based on a machine learning and Mendelian randomization by Yuan Liu, Yuan Liu, Xin Yuan, Xin Yuan, Yu-Chan He, Yu-Chan He, Zhong-Hai Bi, Zhong-Hai Bi, Si-Yao Li, Si-Yao Li, Ye Li, Ye Li, Yan-Li Liu, Yan-Li Liu, Liu Miao, Liu Miao

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Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interaction predictions by Ceder Dens, Wout Bittremieux, Fabio Affaticati, Kris Laukens, Pieter Meysman

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Predicting lung metastasis in high-grade osteosarcoma: The role of computed tomography angiography (CTA) signs with a focus on vascular wrapping and the intratumoral vascular netwo... by Zhendong Luo, Tao Ai, Zhiqiang Liu, Litong He, Yanzhen Hou, Yulin Li, Ziyan Zhou, Xinping Shen

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Self-Diagnostic Method for Resistive Displacement Sensors by Federico Mazzoli, Davide Alghisi, Vittorio Ferrari

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Intra-Session Reliability and Predictive Value of Maximum Voluntary Isometric Contraction for Estimating One-Repetition Maximum in Older Women: A Randomised Split-Sample Study by José Aldo Hernández-Murúa, Ena Monserrat Romero-Pérez, Jorge Luis Guajardo-Cruztitla, Blas Sinahí Madrigal Olivares, Ángel Gallego-Selles, Diego González-Martín, Francisca Reyes-Merino, Nidia Sánchez-García, José Antonio de Paz

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Pathways to Better Prediction of the MJO: 2. Impacts of Atmosphere‐Ocean Coupling on the Upper Ocean and MJO Propagation by Ajda Savarin, Shuyi S. Chen

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Predicting Gender from Twitter Text Messages Using Methods Based on Artificial Intelligence and Text Analysis by Md. Nyem Hasan Bhuiyan, Anisur Rahman

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Clinical signs and symptoms associated with WHO severe dengue classification: a systematic review and meta-analysis by Tha Pyai Htun, Zhonghui Xiong, Junxiong Pang

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Using Deep Learning (CNN, RNN, LSTM, GRU) methods for the prediction of Protein Secondary Structure by Ezgi Çakmak, İhsan Hakan Selvi

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Prediction of Al2O3 leaching recovery in the Bayer process using statistical multilinear regresion analysis by Đurić I., Đorđević P., Mihajlović I., Nikolić Đ., Živković Ž.

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A survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement by Chaofeng Yang, Yongjie Liang, Fan Qin, Yulong Cao, Peiyuan Wang, Jiaying Fan, Bizhong Wei

“…This paper proposes a survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement (MSHG-CMR), which achieves deep joint modeling and efficient information fusion of pathological images and multi-omics data by integrating multi-scale hypergraph enhancement and cross-modal refinement Transformer technology. …”
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A comparative analysis between Model for End-stage Liver Disease score (MELD), Modified Model for End-stage Liver Disease score (MELD-Na), and Child–Pugh score (CPS) in predicting... by Anagha Ravinath Naik, Swathy Moorthy

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Enhanced Fault Diagnosis in Rotating Machinery Using a Hybrid CWT-LeNet-5-LSTM Model: Performance Across Various Load Conditions by Muhammad Ahsan, Muhammad Waqar Hassan, Jose Rodriguez, Mohamed Abdelrahem

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Accuracy of genome-enabled polygenic risk score prediction of cruciate ligament rupture risk in the Labrador Retriever by Benjamin Miranda, Mehdi Momen, Susannah J. Sample, Peter Muir

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A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships by Shaopeng Liu, Wanlu Hu, Chun-Chun Wang, Linlin Zhuo, Xu Lu

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