Comparison of Weight-Gain-Based Prediction Models for Retinopathy of Prematurity in an Australian Population by Alexander Bremner, Li Yen Chan, Courtney Jones, Shaheen P. Shah

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Flow Field Analysis and Development of a Prediction Model Based on Deep Learning by Yingjie Yu, Xiufeng Zhang, Lucai Wang, Rui Tian, Xiaobin Qian, Dongdong Guo, Yanwei Liu

“…The proposed model was validated by comparing its predictions with those predicted by the MIKE21 flow model of the ocean area within proximity to Dalian Port (which used a commercial numerical model), as well as those predicted by other deep learning algorithms. …”
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Multiband Prediction Model for Financial Time Series with Multivariate Empirical Mode Decomposition by Md. Rabiul Islam, Md. Rashed-Al-Mahfuz, Shamim Ahmad, Md. Khademul Islam Molla

“…Autoregressive moving average (ARMA) model is used in prediction of individual subband of any time series data. …”
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Machine Learning Prediction Model of Waitlist Outcomes in Patients with Primary Sclerosing Cholangitis by Xun Zhao, MD, Maryam Naghibzadeh, MD, Yingji Sun, MSc, Arya Rahmani, BSc, Leslie Lilly, MD, Nazia Selzner, MD, PhD, Cynthia Tsien, MD, MPH, Elmar Jaeckel, MD, Mary Pressley Vyas, Rahul Krishnan, PhD, Gideon Hirschfield, MD, PhD, MB, Mamatha Bhat, MD, PhD

“…This disparity may stem from the inaccuracy of the model for end-stage liver disease (MELD) in predicting waitlist mortality or dropout for PSC. …”
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GRU-LSTM model based on the SSA for short-term traffic flow prediction by Changxi Ma, Xiaoyu Huang, Yongpeng Zhao, Tao Wang, Bo Du

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Modeling signaling‐dependent pluripotency with Boolean logic to predict cell fate transitions by Ayako Yachie‐Kinoshita, Kento Onishi, Joel Ostblom, Matthew A Langley, Eszter Posfai, Janet Rossant, Peter W Zandstra

“…Extending the model to PSC differentiation, we predicted a combination of signaling activators and inhibitors that efficiently and robustly generated a Cdx2+Oct4− cells from naïve mESCs. …”
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Developing a model for predicting suicide risk among prostate cancer survivors by Jie Yang, Hai-ming Liu, Xiang Qu, Fan Jiang, Jie-wei Hao, Pei-rong Rong, Peng Ning, An-jie Zheng

“…Calibration curves indicated a high degree of consistency between model predictions and actual outcomes. High-risk prostate cancer survivors had a 3.5 times higher risk of suicide than the low-risk group (0.007 vs. 0.002, P < 0.001), a finding supported by data from the validation cohort and the entire cohort.ConclusionA reliable predictive model for suicide risk among prostate cancer survivors was successfully established based on seven readily obtainable clinical predictors. …”
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Harvester Maintenance Prediction Tool: Machine Learning Model Based on Mechanical Features by Rodrigo Oliveira Almeida, Richardson Barbosa Gomes da Silva, Danilo Simões

“…Along with the data from the experimental research, we will make available the complete file containing the predictive model, as well as the software, both developed in the Python language.…”
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Reservoir type classification and water yield prediction based on petrophysical conversion models by Jiejun Zhu, Jiejun Zhu, Jiejun Zhu, Jian Peng, Jian Peng, Jian Peng, Zhibin Lv, Zhibin Lv, Zhibin Lv, Shuangquan Chen

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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…The model comprehensively matched the multiple requirements of information weighting, temporal dependency modeling, and model optimization in concrete dam deformation prediction, forming a synergistic enhancement effect among methods.The attention mechanism operates on both feature and temporal dimensions to comprehensively enhance the model's focus on critical information. …”
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Landslide Displacement Prediction Model Based on Optimal Decomposition and Deep Attention Mechanism by Shuai Ren, Kamarul Hawari Ghazali, Yuanfa Ji, Samra Urooj Khan

“…Grey Relational Analysis (GRA) is further employed to identify key external driving factors, enhancing prediction accuracy. Experimental results demonstrate that the proposed model significantly improves predictive performance, reducing the Root Mean Square Error (RMSE) by 60% compared to the traditional XGBoost model and by 33% compared to the Empirical Mode Decomposition-BiLSTM (EMD-BiLSTM) model. …”
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Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis by Nurfaidah Tahir, Chau-Ren Jung, Shin-Da Lee, Nur Azizah, Wen-Chao Ho, Tsai-Chung Li

“…The risk of bias was assessed using CHARMS (Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies) and PROBAST (Prediction Model Risk of Bias Assessment Tool). …”
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Movement analysis-based injury prediction model among athletes – a review by Deepak Pradhan

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Novel hybrid model to improve the monthly streamflow prediction: Integrating ANN and PSO by Baydaa Abdul Kareem, Salah L. Zubaidi

“…In addition, it was revealed that the PSO algorithm effectively forecasts the parameters of the suggested model. Also, the outcomes indicated that the suggested approach successfully simulated the streamflow according to multiple statistical criteria, including R2, RMSE, and MAE. …”
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Streamflow Intervals Prediction Using Coupled Autoregressive Conditionally Heteroscedastic With Bootstrap Model by Bugrayhan Bickici, Beste Hamiye Beyaztas, Zaher Mundher Yaseen, Ufuk Beyaztas, Ercan Kahya

“…Remarkable prediction accuracy was shown against the benchmark models. …”
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COD Optimization Prediction Model Based on CAWOA-ELM in Water Ecological Environment by Lili Jiang, Liu Yang, Yang Huang, Yi Wu, Huixian Li, XiYan Shen, Meng Bi, Lin Hong, Yiting Yang, Zuping Ding, Wenjie Chen

“…Establishing an effective water ecological prediction model can detect changes in the ecological environment system quickly and effectively. …”
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Artificial intelligence prediction model for educational knowledge representation through learning performance by Ane Tanjea, Nepa Tabatshum

“…This research aims to implement an AI application using a supervised learning model to predict students' learning abilities, which are developed by the end of course study. …”
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Review of Models for Estimating and Predicting the Amount of Energy Produced by Solar Energy Systems by Simankov V., Buchatskiy P., Onishchenko S., Teploukhov S.

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Agent-based modeling for personalized prediction of an experimental immune response to immunotherapeutic antibodies. by Omri Matalon, Andrea Perissinotto, Kuti Baruch, Shai Braiman, Anat Geiger Maor, Eti Yoles, Ella Wilczynski, Uri Nevo, Avner Priel

“…In this work we developed and tested the ability of an Agent-Based Model (ABM) to predict the ex vivo immune response of memory T cells to anti-PD-L1 blocking antibody, based on personalized immune-phenotypes. …”
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Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana

“…Large-scale 6G traffic data with varied channel conditions and user scenarios was used to validate the model. An algorithm is presented to describe the training process of the proposed hybrid model. …”
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