Predictive value of heart rate for prognosis in patients with cerebral infarction without atrial fibrillation comorbidity analyzed according to the MIMIC-IV database by Xinrou Song, Luwen Zhu

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Application of Bayesian Statistics in Analyzing and Predicting Carburizing-Induced Dimensional Changes in Torsion Bars by Guojin Sun, Zhenggui Li, Yanxiong Jiao, Qi Wang

“…This study investigates the application of Bayesian statistical methods to analyze and predict the dimensional changes in torsion bars made from 20CrMnTi alloy steel during carburizing heat treatment. …”
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Analyzing Crash Severity: Human Injury Severity Prediction Method Based on Transformer Model by Yalan Jiang, Xianguo Qu, Weiwei Zhang, Wenfeng Guo, Jiejie Xu, Wangpengfei Yu, Yang Chen

“…Prediction models need to learn and analyze the various characteristic factors of traffic accidents and capture from them the inherent complex relationship between accident characteristics and the severity of traffic accidents. …”
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Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

“…This study examines the impact of momentum dynamics on tennis match outcomes, addressing the limitations of traditional performance prediction methods. Using data from the 2023 Wimbledon men’s singles matches, a data-driven framework was developed to analyze factors influencing player performance. …”
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Models for analyzing and forecasting share prices on the stock exchange by Р. Пізнак, Т. Ліхоузова

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Causes of watershed drought analyzed using explainable deep learning: a case study of the Fenhe River Basin by Zixuan Chen, Zixuan Chen, Zixuan Chen, Xikun Wei, Guojie Wang, Yifan Hu, Haonan Liu, Jinman Zhang, Jinman Zhang, Jinman Zhang, Shuang Zhou, Shuang Zhou, Shuang Zhou, Zengbao Zhao, Zengbao Zhao, Zengbao Zhao, Yushan Liu, Yushan Liu, Yushan Liu

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Analyzing and Predicting the Agronomic Effectiveness of Fertilizers Derived from Food Waste Using Data-Driven Models by Ksawery Kuligowski, Quoc Ba Tran, Chinh Chien Nguyen, Piotr Kaczyński, Izabela Konkol, Lesław Świerczek, Adam Cenian, Xuan Cuong Nguyen

“…This study evaluates and estimates the agronomic effectiveness of food waste-derived fertilizers by analyzing plant yield and the internal efficiency of nitrogen utilization (IENU) via statistical and machine learning models. …”
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Analyzing the influencing factors and developing Artificial Neural Network-based prediction model for water turbidity by K.L. Priya, A. Vidya, A. Anupama, M. Athira, S. Haddout, Chingakham Chinglenthoiba, M.S. Indu, V. Baiju

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Utilizing artificial intelligence to predict and analyze socioeconomic, environmental, and healthcare factors driving tuberculosis globally by Md. Siddikur Rahman, Abu Bokkor Shiddik

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Topological Attention-Based Convolution Neural Networks in Analyzing and Predicting Particulate Matter Pollution Level by Zixin Lin, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin, R. U. Gobithaasan

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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

“…ObjectiveThis systematic review aims to examine the use of ML for analyzing RWD in disease prediction and management, identifying the most commonly used ML methods, prevalent disease types, study designs, and the sources of real-world evidence (RWE). …”
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Predicting the prognosis of patients with sudden sensorineural hearing loss by analyzing the audiometric curve of the unaffected ear by Xuan Sun, Yahan Zhao, Yi Li

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Analyzing and predicting global happiness index via integrated multilayer clustering and machine learning models by Boxu Yang, Xiang Xie

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Analyzing risk factors and handling imbalanced data for predicting stroke risk using machine learning by Adiwijaya Adiwijaya, Nur Ghaniaviyanto Ramadhan

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LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA by Mohammed Sarwat M Salih, Hawal Lateef Fateh, Soran Abdulkarim Pasha, Hassan M Tawfiq

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Predictive Modelling of Protest Event Signatures: Analyzing Temporal Dynamics and Digital Activism Discourse Across Global Movements by Amila Chethana Nanayakkara, B. T. G. Samantha Kumara, R. M. Kapila Tharanga Rathnayaka

“…This research introduced a predictive modeling framework to analyze the temporal dynamics of social media discourse during three global movements: the Mahsa Amini Protests (2022), South African Unrest (2021), and the Black Lives Matter Movement (2020). …”
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Analyzing and Predicting LUCC and Carbon Storage Changes in Xinjiang’s Arid Ecosystems Under the Carbon Neutrality Goal by Jie Song, Xin He, Fei Zhang, Xu Ma, Chi Yung Jim, Brian Alan Johnson, Ngai Weng Chan

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Analyzing the Association between Pattern and Returns Using Goodman–Kruskal Prediction Error Reduction Index (λ) by Parmod Kumar Paul, Om Prakash Mahela, Baseem Khan

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Modeling, Small-Signal Stability Analyzing and Implementing of an Inverter-Based Distributed Generation with Feed-forwarded Model Predictive Controller by abdolhossein saleh

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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

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