Machine Learning-Based Approach for HIV/AIDS Prediction: Feature Selection and Data Balancing Strategy by Abdul Mizwar A Rahim, Ahmad Ridwan, Bambang Pilu Hartato, Firman Asharudin

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Machine learning-based prediction of antibiotic resistance in Mycobacterium tuberculosis clinical isolates from Uganda by Sandra Ruth Babirye, Mike Nsubuga, Gerald Mboowa, Charles Batte, Ronald Galiwango, David Patrick Kateete

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MFE-DDI: A multi-view feature encoding framework for drug-drug interaction prediction by Lingfeng Wang, Yinghong Li, Yaozheng Zhou, Liping Guo, Congzhou Chen

“…In this study, we propose the Multi-view Feature Embedding for drug-drug interaction prediction (MFE-DDI), which integrates SMILES information, molecular graph data and atom spatial semantic information to model drugs from multiple perspectives and encapsulate the intricate drug information crucial for predicting DDIs. …”
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Fluid Force Reduction and Flow Structure at a Coastal Building with Different Outer Frame Openings Following Primary Defensive Alternatives: An Experiment-Based Review by Kannangara Dissanayakalage Charitha Rangana Dissanayaka, Norio Tanaka

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Prediction of adverse drug reactions using demographic and non-clinical drug characteristics in FAERS data by Alireza Farnoush, Zahra Sedighi-Maman, Behnam Rasoolian, Jonathan J. Heath, Banafsheh Fallah

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An immune-related signature based on molecular subtypes for predicting the prognosis and immunotherapy efficacy of hepatocellular carcinoma by Xuhui Sun, Wenlong Jia, Huifang Liang, Henghui Cheng

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Deep learning-based InSAR time-series deformation prediction in coal mine areas by Chuanzeng Shu, Zhiguo Meng, Ying Yang, Yongzhi Wang, Shanjun Liu, Xiaoping Zhang, Yuanzhi Zhang

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Development and validation of a nomogram for predicting the risk of mental health problems of factory workers and miners by Qi Liu, Tao Liu, Yaoqin Lu, Huan Yan

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Predicting drug-target interactions using machine learning with improved data balancing and feature engineering by Md. Alamin Talukder, Mohsin Kazi, Ammar Alazab

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Research on Pump Down Treating Pressure Prediction Based on New Particle Swarm Optimization Algorithm by LIU Mingming, SONG Zhiyong, MA Shou, WEI Yuhua, ZHUANG Huanle

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Neural-Network-Based Prediction of Non-Burial Overwintering Material Covering Height for Wine Grapes by Yunlong Ma, Jinyue Yang, Yibo Chen, Ping Wang, Qinming Sun

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Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach by Pradeep K. Yadalam, Jogikalmat Krithikadatta, Prabhu M. Natarajan, Carlos M. Ardila

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Machine learning-based ultrasound radiomics for predicting TP53 mutation status in hepatocellular carcinoma by Didi Bu, Shaobo Duan, Shanshan Ren, Yujing Ma, Yuanyuan Liu, Yahong Li, Xiguo Cai, Lianzhong Zhang, Lianzhong Zhang, Lianzhong Zhang

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Data-driven approaches for predicting Tommy John Surgery risk in major league baseball pitchers by Bosuk Kang, Minsu Park, Angel P. del Pobil, Eunil Park

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A prediction method for anti-cancer drug combinations synergy based on graph attention network by QIN Weiqi;BAO Xin;CHEN Xiao;QIU Jianlong;WANG Donglin

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Prediction of ultimate load capacity of demountable shear stud connectors using machine learning techniques by Ahmed I. Saleh, Nabil S. Mahmoud, Fikry A. Salem, Mohamed Ghannam

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ChatGPT’s English poems and justifications, adoption driving factors, and strategies to promote responsible usage in English poetry classes by Christina Johanna van Staden

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SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

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Analysis and Prediction of Deformation of Shield Tunnel Under the Influence of Random Damages Based on Deep Learning by Xiaokai Niu, Yuqiang Pan, Wei Li, Zhitian Xie, Wei Song, Chengping Zhang

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Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting by Vijayalakshmi S, John A, Sunder R, Senthilkumar Mohan, Sweta Bhattacharya, Rajesh Kaluri, Guang Feng, Usman Tariq

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