Study on Strength Prediction and Material Scheme Optimization for Modified Red Mud Based on Artificial Neural Networks by Qiaoling Ji, Xiuru Jia, Yingjian Wang, Yu Cheng

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Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence by Tejas Kadengodlu Bhat, Krishnaraj Chadaga, Niranjana Sampathila, Swathi KS, Rajagopala Chadaga, Shashikiran Umakanth, Srikanth Prabhu

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Predicting acupuncture efficacy for neck pain based on functional connectivity features: a machine learning study by Zhen Gao, Mengjie Cui, Cheng Xu, Haijun Wang, Yanlin Zhang, Laixi Ji

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Machine Learning Techniques for Predicting Typhoon‐Induced Storm Surge Using a Hybrid Wind Field by Changyu Su, Bishnupriya Sahoo, Miaohua Mao, Meng Xia

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Deep learning and inflammatory markers predict early response to immunotherapy in unresectable NSCLC: A multicenter study by Lei Yuan, Qi Wang, Fei Sun, Hongcan Shi

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Individual and integrated indexes of inflammation predicting the risks of mental disorders - statistical analysis and artificial neural network by Shu-Min Huang, Fu-Hsing Wu, Kai-Jie Ma, Jong-Yi Wang

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Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning by Jian Wang, Chengsong Duan, Qiao Yu, Cheng Yang

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The predictive effects of learner autonomy and academic engagement on willingness to communicate, foreign language learning self-esteem, and L2 grit in an EFL context by Ehsan Namaziandost, Fidel Çakmak, Tahereh Heydarnejad, Afsheen Rezai

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Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques by Bhupesh P. Nandurkar, Jayant M. Raut, Pawan K. Hinge, Boskey V. Bahoria, Tejas R. Patil, Sachin Upadhye, Vikrant S. Vairagade, Sagar D. Shelare

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Clinical features and predictive nomogram for fatigue sequelae in non-severe patients infected with SARS-CoV-2 Omicron variant in Shanghai, China by Xiao-Lei Shen, Yu-Han Jiang, Shen-Jie Li, Xin-Yi Xie, Yu Cheng, Li Wu, Jun Shen, Wei Chen, Jian-Ren Liu

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Nomogram for the prediction of the prognosis of patients with triple-negative invasive ductal carcinoma of breast after neoadjuvant chemotherapy by Qiuyu Yang, Liangchen Xi, Mudan Huang, Haosheng Zhang, Fangzheng Zhou

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Head injury risk prediction for vulnerable road users based on Chinese adult male head data by Ying Lu, Jun Bai, Yufa Liu, Yu Shu

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The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions by Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, Mecit Can Emre Simsekler

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Machine learning for early prediction of the infection in patients with urinary stone after treatment of holmium laser lithotripsy. by Weiqi Xia, Miaomiao Zhang, Xiaowei Zheng, Zushuai Wu, Zixue Xuan, Ping Huang, Xiuli Yang

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Integrating Time Series Decomposition and Deep Learning: An STL-TCN-Transformer Framework for Landslide Displacement Prediction by Shuai Ren, Kamarul Hawari Ghazali

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Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets by Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann

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A Deep Learning Approach for General Aviation Trajectory Prediction Based on Stochastic Processes for Uncertainty Handling by Houru Hu, Ye Yuan, Qingwen Xue

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Predicting and Understanding Disorders of Consciousness of Sleep Patients Through Multimodal Data Fusion and Temporal Attention Mechanisms by Haixia Pan, Haotian Geng, Pingshu Zhang, Xiaodong Yuan

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Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms by Ashrafe Alam, Victor R. Prybutok

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DDI-KGAT: A Graph Attention Network on Biomedical Knowledge Graph for the Prediction of Drug-Drug Interactions by Iqra Naseer Kundi, Shahzad Amin Sheikh, Fahad Mumtaz Malik, Kamran Aziz Bhatti

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