A machine learning-based prediction of diabetic retinopathy using the Korea national health and nutrition examination survey (2008–2012, 2017–2021) by Min Seok Kim, Young Wook Choi, Borghare Shubham Prakash, Youngju Lee, Soo Lim, Se Joon Woo

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Evaluation of dust emission and land surface schemes in predicting a mega Asian dust storm over South Korea using WRF-Chem by J. W. Yoon, J. W. Yoon, S. Lee, E. Lee, E. Lee, S. K. Park, S. K. Park, S. K. Park

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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy by Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel, Abeer Alsadoon, Madhav Parsad Koirala, Sumeet Gill

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Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong by Yangyang Chen, Daqing Ge, Dongping Ming, Lu Xu, Qiong Wu, Yanni Ma, Yuanbiao Dong, Junchuan Yu

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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2. by Junhao Liu, Zeyu Luo, Rui Wang, Xin Li, Yawen Sun, Zongqing Chen, Yu-Juan Zhang

“…The identification of shared key features that capture evolutionarily conserved traits enhances the interpretability of the EUP model for ubiquitination prediction. EUP is free and available at (https://eup.aibtit.com/).…”
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Estimation of Snow Water Equivalent in Semiarid Zone from Data of Global Numerical Models ICON and GFS/NCEP (Case Study of the Selenga River Basin) by A. N. Shikhov, V. N. Chernykh, A. A. Aurzhanaev, S. V. Pyankov, R. K. Abdullin

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Summarization, Prediction, and Analysis of Turkish Constitutional Court Decisions With Explainable Artificial Intelligence and a Hybrid Natural Language Processing Method by Tulay Turan, Ecir Ugur Kucuksille

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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques by Tuğçe Öznacar, Nuray Varol Kayapunar

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Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank. by Aviv Gafni, Gillian S Dite, Erika Spaeth Tuff, Richard Allman, John L Hopper

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Intratumoral and peritumoral radiomics based on automated breast volume scanner for predicting human epidermal growth factor receptor 2 status by Hao Zhang, Qing Miao, Yan Fu, Ruike Pan, Qing Jin, Changjiang Gu, Xuejun Ni

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Prediction of pavement water film depth and estimation of critical rainfall conditions for refined road safety management: A simulation study. by Jinliang Xu, Wenzhen Lv, Chao Gao, Tian Xin, Xiantong Liu, Yahao Hou

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Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study by Xinxin Qin, Binxu Qiu, Litao Ge, Song Wu, Yuye Ma, Wei Li

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External validation of N2H3 nomogram to predict outcomes in patients with acute ischemic stroke treated by intravenous thrombolysis by Huai-Mei Zhang, Zi-Duo Shen, Yang Qu, Peng Zhang, Reziya Abuduxukuer, Li-Juan Wang, Yu Li, Yu-Mei Chen, An-Ran Liu, Xiao-Dong Liu, Li-Li Zhao, Chun-Yu Yang, Jing Yao, An-Ying Wang, Yong-Fei Jiang, Jin-Cheng Wang, Chen-Peng Dong, Fang-Fang Liu, Li Li, Ying-Bin Qi, Chun-Fei Wang, Hao Li, Li-Ying Zhang, Wen-Juan Ma, Zhen-Ni Guo, Yi Yang

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Surfactant representation using COSMO screened charge density for adsorption isotherm prediction using Physics-Informed Neural Network (PINN) by Achmad Anggawirya Alimin, Kattariya Srasamran, Wanutchaya Yuenyong, Ampira Charoensaeng, Bor-Jier Shiau, Uthaiporn Suriyapraphadilok

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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

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Prediction of EGFR mutation status in non-small cell lung cancer based on CT radiomic features combined with clinical characteristics by YANG Taotao, WANG Xianqi, CHEN Cancan

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The development of a body weight prediction method for Ongole Crossbred cattle using a meta-analysis and field experiment approach by Frediansyah Firdaus, Bayu Andri Atmoko, Panjono ., Yudi Adinata, Tanda Sahat Panjaitan, Noor Hudhia Krishna, Retno Widiyawati, Malik Makmur, Fajar Ariadi

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Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach by Ronghua Bei, Justin Thomas, Shiven Kapur, Mahlet Woldeyes, Adam Rauk, Jason Robarge, Jiangyan Feng, Kaoutar Abbou Oucherif

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The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries by Luping Wang, Shanze Wang

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Toward prediction of entrepreneurial exit in Iran; a study based on GEM 2008-2019 data and approach of machine learning algorithms by Masoumeh Moterased, Seyed Mojtaba Sajadi, Ali Davari, Mohammad Reza Zali

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