Prediction of end-point phosphorus content of molten steel in BOF with machine learning models by Kang Y., Ren M.-M., Zhao J.-X., Yang L.-B., Zhang Z.-K., Wang Z., Cao G.

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Multi-task aquatic toxicity prediction model based on multi-level features fusion by Xin Yang, Jianqiang Sun, Bingyu Jin, Yuer Lu, Jinyan Cheng, Jiaju Jiang, Qi Zhao, Jianwei Shuai

“…Objectives: This article presents ATFPGT-multi, an advanced multi-task deep neural network prediction model for organic toxicity. Methods: The model integrates molecular fingerprints and molecule graphs to characterize molecules, enabling the simultaneous prediction of acute toxicity for the same organic compound across four distinct fish species. …”
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Correction: Empirical prediction intervals applied to short term mortality forecasts and excess deaths by Ricarda Duerst, Jonas Schöley

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HIV/AIDS epidemic in India and predicting the impact of the national response: Mathematical modeling and analysis by Arni S. R. Srinivasa Rao, Kurien Thomas, Kurapati Sudhakar, Philip K. Maini

“…Our focus here is to predict the number of peopleliving with HIV/AIDS (PLHA) in India so that the results can assistthe NACP III planning team to determine appropriate targets to beactivated during the project period (2007-2012). …”
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Evaluation of a pragmatic approach to predicting COVID-19-positive hospital bed occupancy by Azeem Majeed, Thomas Woodcock, Paul Aylin, Julian Redhead, Derryn Lovett, Jacques Naude

“…We used linear regression models to predict bed occupancy, using lagged, smoothed numbers of COVID-19 cases among unvaccinated individuals in the community as the predictor. …”
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Prognostic prediction for inflammatory breast cancer patients using random survival forest modeling by Yiwei Jia, Chaofan Li, Cong Feng, Shiyu Sun, Yifan Cai, Peizhuo Yao, Xinyu Wei, Zeyao Feng, Yanbin Liu, Wei Lv, Huizi Wu, Fei Wu, Lu Zhang, Shuqun Zhang, Xingcong Ma

“…Thus, it is necessary to establish a novel predictive model of high accuracy for the prognosis of IBC patients. …”
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Prediction Model of Minimum Void Ratio for Various Sizes/Shapes of Sandy Binary Mixture by Chaojie Shen, Zhaoyang Xu, Jie Yin, Jinfeng Wu

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A Machine Learning-Based Model for Predicting Atmospheric Corrosion Rate of Carbon Steel by Ngoc-Long Tran, Trong-Ha Nguyen, Van-Tien Phan, Duy-Duan Nguyen

“…The purpose of this study is to develop a practical artificial neural network (ANN) model for predicting the atmospheric corrosion rate of carbon steel. …”
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Design of an Early Prediction Model for Parkinson’s Disease Using Machine Learning by K. Velu, N. Jaisankar

“…Challenges such as class imbalance, feature selection, and interpretable predictive analysis still need to be addressed. Furthermore, the precision and reliability of the predictive outcomes are crucial to enhance healthcare services. …”
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Study on Flow Structure Characteristics Along the Latticework Duct Subchannels and Classification Boundary Prediction by Minlong Li, Huishe Wang, Ke Yang, Rongguo Yu, Jingze Ton

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Comparing Mortality Risk Predictive Ability of Different Scoring Systems in Cirrhotic Patients with Bacteremia by Chi-Chieh Hung, Yin-Chou Hsu, Kuo-Hsuan Lin

“…Our study aimed to investigate scoring systems that can predict the mortality risk in patients with cirrhosis and bacteremia. …”
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Traffic Flow Prediction Based on Multi-Spatiotemporal Attention Gated Graph Convolution Network by Yun Ge, Jian F. Zhai, Pei C. Su

“…Accurate prediction of traffic flow plays an important role in ensuring public traffic safety and solving traffic congestion. …”
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Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis by Fei Zuo, Lei Zhong, Jie Min, Jinyu Zhang, Longping Yao

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Prognostic Nutritional Index Predicts Early Mortality in Diffuse Large B-cell Lymphoma by Erman OZTURK, Tayfun ELIBOL, Emrah KILICASLAN, Beyza KABAYUKA, Işıl ERDOGAN OZUNAL

“…This finding demonstrated that PNI might predict early mortality in DLBCL.…”
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Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models by Jasim Ghaeb, Ibrahim Al-Naimi, Malek Alkayyali

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Numerical Prediction of Bubbly Flow Around an Oscillating Hydrofoil by Incompressible Two-Fluid Model by Uchiyama Tomomi

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Discovery of Novel Leaf Rust Responsive microRNAs in Wheat and Prediction of Their Target Genes by Dhananjay Kumar, Dharmendra Singh, Pulkit Kanodia, Kumble Vinod Prabhu, Manish Kumar, Kunal Mukhopadhyay

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Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms by Kaushalya Dissanayake, Md Gapar Md Johar

“…Therefore, understanding the data related to heart disease is very important to improve prediction accuracy. This article has conducted an experimental evaluation of the performance of models created using classification algorithms and relevant features selected using various feature selection approaches. …”
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Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms by Dae-Yeon Kim, Dong-Sik Choi, Ah Reum Kang, Jiyoung Woo, Yechan Han, Sung Wan Chun, Jaeyun Kim

“…Then, a genetic algorithm (GA) was applied to the five prediction models to optimize their weights through ensemble techniques and to yield (output) the final predicted BG values. …”
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Proximal tubule-on-chip as a model for predicting cation transport and drug transporter dynamics by Isy Petit, Quentin Faucher, Jean-Sébastien Bernard, Perrine Giunchi, Antoine Humeau, François-Ludovic Sauvage, Pierre Marquet, Nicolas Védrenne, Florent Di Meo

“…However, pharmacological research suffers from poor reproducibility across clinical, animal, and experimental models. Predictivity can be improved by using Organs-on-Chips, which are more physiological, human-oriented, micro-engineered devices that include microfluidics. …”
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