A novel model for accurate and fast prediction of cancer incidence by Mahmoud Hamed, Berlanty A. Zayed, Fotouh R. Mansour

Subjects: “…Prediction model…”
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Research on Customer Churn Prediction Using Machine Learning Models by Jia Xiaolei

“…However, in uncomplex customer churn predictions, the decision tree model gets a high prediction score due to its accuracy rate of 90.8%. …”
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Assessing the Impact of Distance Modelling Approaches on Active Travel Predictions by Laya Hossein Rashidi, Jennifer (L.) Kent, Emily Moylan

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Complex multivariate model predictions for coral diversity with climatic change by Tim R. McClanahan, Maxwell K. Azali, Nyawira A. Muthiga, Sean N. Porter, Michael H. Schleyer, Mireille M. M. Guillaume

“…We examined the predictions for numbers of coral taxa using all variables and compared them to models based on variables commonly used to predict climate change and human influences (eight and nine variables). …”
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The risk factors and prediction model for postoperative pneumonia after craniotomy by Bingbing Xiang, Bingbing Xiang, Mingliang Yi, Chunyan Li, Hong Yin, Shun Wang, Yiran Liu, Yiran Liu

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Macroeconomic models for predicting indirect impacts of disasters: A review by Tinger Zhu, Charalampos Avraam, Jack W. Baker

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Statistical flaws of the fitness-fatigue sports performance prediction model by Alexandre Marchal, Othmène Benazieb, Yisakor Weldegebriel, Thibaut Méline, Frank Imbach

“…Abstract Optimizing athletic training programs with the support of predictive models is an active research topic, fuelled by a consistent data collection. …”
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Comprehensive Prediction Model for Analysis of Rolling Bearing Ring Waviness by Marek Šafář, Leonard Dütsch, Marta Harničárová, Jan Valíček, Milena Kušnerová, Hakan Tozan, Ivan Kopal, Karel Falta, Cristina Borzan, Zuzana Palková

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Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…The model is a structured state-space model designed to process complex time-series data, and improve efficiency through parallel scan algorithm, making it suitable for large-scale three-dimensional data prediction. …”
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Self-adaptive prediction and prewarning model of mine gas concentration by Dingwen Dong

“…In prediction process, the prediction accuracy was evaluated by using prediction availability, and the IMFs’ phase space parameters and the GPR hyperparameters were adjusted dynamically to achieve the best prediction accuracy. …”
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Retracted: An Intelligent Gray Prediction Model Based on Fuzzy Theory by International Transactions on Electrical Energy Systems

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Prediction of Blast Crushing Lumpiness Based on CPO-BP Modeling by Xuebin Xie, Chuanqi Huang

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Research on Ginger Price Prediction Model Based on Deep Learning by Fengyu Li, Xianyong Meng, Ke Zhu, Jun Yan, Lining Liu, Pingzeng Liu

“…By combining seasonal decomposition STL, long and short-term memory network LSTM, attention mechanism ATT and Kolmogorov-Arnold network, a combined STL-LSTM-ATT-KAN prediction model is developed, and the model parameters are finely tuned by using multi-population adaptive particle swarm optimisation algorithm (AMP-PSO). …”
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Benchmarking machine learning models for predicting lithium ion migration by Artem D. Dembitskiy, Innokentiy S. Humonen, Roman A. Eremin, Dmitry A. Aksyonov, Stanislav S. Fedotov, Semen A. Budennyy

“…With LiTraj, we demonstrate that classical ML models and graph neural networks (GNNs) for structure-to-property prediction of percolation and migration barriers can distinguish between “fast” and “poor” ionic conductors. …”
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Risk Prediction Models for Perioperative Hypothermia: A Systematic Review by Liu J, Liu F, Xu W, Du L, Li Y, Liang A, Li B, Zhang M

“…Data collection followed the checklist for critical appraisal and data extraction for systematic reviews of prediction modelling studies (CHARMS). The prediction model risk of bias assessment tool (PROBAST) checklist assessed the risk of bias and applicability of the data.Results: This study included 11 papers (14 risk prediction models). …”
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Applying binary mixed model to predict knee osteoarthritis pain. by Helal El-Zaatari, Liubov Arbeeva, Amanda E Nelson

“…The aim of this study was to develop a flexible, data-driven framework for predicting knee pain outcomes, incorporating the advantages of both random forest (RF) and mixed effects models for correlated data. …”
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Blood cancer prediction model based on deep learning technique by Amr I. Shehta, Mona Nasr, Alaa El Din M. El Ghazali

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Explainable models for predicting crab weight based on genetic programming by Tao Shi, Lingcheng Meng, Limiao Deng, Juan Li

“…Thanks to the explicit ability of feature selection, GP can select more important features to improve the prediction performance. More importantly, the generated models can provide potential interpretability, which is particularly valuable for domain experts in fisheries management and ecological research.…”
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Vascular Compromise and Hemodynamics in Pulmonary Arterial Hypertension: Model Predictions by Zoheir Bshouty

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A Bayesian model for predicting monthly fire frequency in Kenya. by Levi Orero, Evans Otieno Omondi, Bernard Oguna Omolo

“…The Bayesian model also offers prediction intervals that closely align with actual predictions, indicating its flexibility in forecasting the frequency of monthly fires. …”
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