Lactate-related lncRNAs assessment model predicts the prognosis of pancreatic ductal adenocarcinoma by Jing Sun, Tao Zhang, Shuai Zhu

“…Four LA-DElncRNAs were selected to develop clinical model, which demonstrated strong performance in survival prediction. …”
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Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model by Hewu Kuang

“…This paper studies the optimization of neural network structure by genetic algorithm, puts forward the prediction model of urban scale expansion based on a genetic algorithm optimization neural network, and compares the performance of the model with the basic model. …”
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Research on ocean buoy attitude prediction model based on multi-dimensional feature fusion by Yingjie Liu, Yingjie Liu, Chunlin Ning, Chunlin Ning, Chunlin Ning, Chunlin Ning, Qianran Zhang, Guozheng Yuan, Chao Li

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Analysis and Prediction of Spring-Back in Cylindrical Helical Springs Using Analytical and Numerical Models by Nicola Zani, Luigi Solazzi

“…This research investigates the spring-back phenomenon, which affects the final diameter of helical springs post-manufacture, using analytical, experimental and numerical methods. An analytical model, derived from the mechanical bending process, was proposed to predict spring-back, and its accuracy was validated against experimental data. …”
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A Machine Learning Model for Predicting Prognosis in HCC Patients With Diabetes After TACE by Wu L, Chen L, Zhang L, Liu Y, Ouyang D, Wu W, Lei Y, Han P, Zhao H, Zheng C

“…Further, five predictive models were employed to establish prognosis models for 1-, 2-, and 3-year survival, respectively. …”
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Evaluation of multiple machine learning models predicting the results of hybrid imaging in primary hyperparathyroidism by Anna Drynda, Jacek Podlewski, Karolina Kucharczyk, Grzegorz Sokołowski, Anna Sowa-Staszczak, Alicja Hubalewska-Dydejczyk, Małgorzata Trofimiuk- Müldner

“…MATERIAL AND METHODS: Development and evaluation of logistic regression (LR), classification trees utilizing the classification and regression trees (CART) algorithm, random forest (RF), and boosted trees employing XGBoost (XGB) predictive models. All models were constructed using data obtained from 499 patients diagnosed with PHP who underwent [99mTc]Tc-MIBI SPECT-CT imaging between 2010 and 2022 at the University Hospital in Cracow, Poland. …”
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Systematic review of risk prediction models for arteriovenous fistula dysfunction in maintenance hemodialysis patients by Shiyan Yao, Guannan Ma, Yongze Dong, Mengjiao Zhao, Luchen Chen, Wenhao Qi, Huajuan Shen

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Deep Learning in Financial Modeling: Predicting European Put Option Prices with Neural Networks by Zakaria Elbayed, Abdelmjid Qadi EI Idrissi

“…This paper explores the application of deep neural networks (DNNs) as an alternative to the traditional Black–Scholes model for predicting European put option prices. …”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…Further, the image analysis quality is improved by 20.7%, and the complete defect prediction is gradually formed. The research results of this paper further improve the efficiency of the neural network model and maintain the accuracy of data, which not only meets the needs of highway subgrade detection but also promotes the application of large-scale image processing technology. …”
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Prostruc: an open-source tool for 3D structure prediction using homology modeling by Shivani V. Pawar, Wilson Sena Kwaku Banini, Musa Muhammad Shamsuddeen, Toheeb A. Jumah, Nigel N. O. Dolling, Abdulwasiu Tiamiyu, Olaitan I. Awe

Subjects: “…homology modeling…”
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A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors by Ying Li, Xinli Zhong, Mengjiao Yang, Lu Yuan, Dandan Wang, Ting Li, Yanying Guo

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Decoupling control strategy of three-port DC–DC converter based on model prediction by Junrui Wang, Xuanjing Qiao, Linhui Li, Rui Wang, Hao Qin

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TE-LSTM: A Prediction Model for Temperature Based on Multivariate Time Series Data by Kang Zhou, Chunju Zhang, Bing Xu, Jianwei Huang, Chenxi Li, Yifan Pei

“…Compared to the baseline model, our model showed an improvement of 0.7552% without time granularity, 1.2047% with a time granularity of 3, and 0.0953% when addressing prediction tasks with specific time requirements. …”
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Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning by Jiming Tang, Yao Huang, Dingli Liu, Liuyuan Xiong, Rongwei Bu

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Prediction model establishment of prognosis factors for acute myeloid leukemia based on the SEER database by Gangping Li, Di Zhang, Yuewen Fu

“…This research aimed to develop a nomogram for precise prediction of overall survival (OS) and cancer-specific survival (CSS) in AML with the t (9;11) (p22; q23) translocation. …”
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Combination model for freshness prediction of pork using VIS/NIR hyperspectral imaging with chemometrics by Minwoo Choi, Hye-Jin Kim, Azfar Ismail, Hyun-Jun Kim, Heesang Hong, Ghiseok Kim, Cheorun Jo

“…Furthermore, the combination model (Model 4), utilizing HSI spectral data and predicted metabolites from Model 2 to predict freshness indicators, improved the prediction coefficients compared to Model 3; TBC R2p = 0.7583 and VBN R2p = 0.8441. …”
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International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…Thus, there is a pressing need for advanced predictive models capable of handling the multifaceted nature of uranium price fluctuations. …”

Construction of mathematical models to predict M25 and M10 coke quality indices by E. N. Stepanov, A. N. Smirnov, D. I. Alekseev

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A compositional model for effort‐aware Just‐In‐Time defect prediction on android apps by Kunsong Zhao, Zhou Xu, Meng Yan, Lei Xue, Wei Li, Gemma Catolino

“…In this study, a novel compositional model, called KPIDL, is proposed to conduct the JIT defect prediction task for Android apps. …”
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Development and validation of prediction models for death within 6 months after cardiac arrest by Jianping Lu, Jianping Lu, Yuqi Zeng, Yuqi Zeng, Nan Lin, Qinyong Ye, Qinyong Ye

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