A Machine Learning Model for Prostate Cancer Prediction in Korean Men by Sukjung Choi, Beomgi So, Shane Oh, Hongzoo Park, Sang Wook Lee, Geehyun Song, Jong Min Lee, Jung Ki Jo, Seon Hyeok Kim, Si Eun Lee, Eun-Bi Cho, Jae Hung Jung, Jeong Hyun Kim

“…Therefore, this study developed a machine learning (ML) model to predict PCa in Korean men and evaluated its usability. …”
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Using artificial intelligence techniques and econometrics model for crypto-price prediction by Abhidha Verma, Jeewesh Jha

“…Furthermore, regression analysis serves as an additional prediction tool. Additionally, we employ the Autoregressive Moving Average (ARMA) model to assess the relationships between variables (dependent and independent variables). …”
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Research and Application of Heart Disease Prediction Model Based on Machine Learning by Bao Yongli

“…Future research can stack models and optimize data sources to improve the practical performance of the model. …”
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Artificial Neural Network Model to Predict the Exportation of Traditional Products of Colombia by Andrea C. Gómez, Lilian A. Bejarano, Helbert E. Espitia

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An improved machine-learning model for lightning-ignited wildfire prediction in Texas by Qi Zhang, Cong Gao, Chunming Shi

“…Using this dataset, we developed an eXtreme gradient boosting-based machine learning model that integrates meteorological, soil, vegetative, lightning, topographic, and human activity variables to predict LIW probability. …”
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Predicting prostate cancer metastasis in Ghana: Comparison of multiparametric and PSA models. by Frank Obeng, Joyce Naa Aklerh Okai, Edward Sutherland

“…This study evaluates and compares the predictive abilities of a multiparametric model and a PSA-alone model in forecasting metastasis in prostate cancer patients.…”
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Collapsible properties of Q2 loess and its collapsible prediction model by Yukai FU, Guanglin LI, Tonglu LI, Ziran ZHANG, He LIU

“…Furthermore, a 3D collapsible surface model related to the pressure and water content was proposed based on the correlation analysis between model parameters and water content. …”
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Multilingual Prediction of Cognitive Impairment with Large Language Models and Speech Analysis by Felix Agbavor, Hualou Liang

“…Comparison between language-agnostic and language-specific models reveals the importance of capturing language-specific nuances for accurate cognitive impairment prediction. …”
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Prediction of Traffic Volume Based on Deep Learning Model for AADT Correction by Dae Cheol Han

“…We have developed a deep-learning-based model to improve the reliability of predictions for annual average daily traffic volume. …”
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The design of consumer behavior prediction and optimization model by integrating DQN and LSTM. by Na Liu, Dajiang Hu

“…The framework initially employs a Transformer network to process consumer behavioral data using a multi-headed attention mechanism, It then integrates DQN to optimize the model culminating in an enhanced prediction layer that refines consumer interest analysis. …”
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THE STRENGTH MODELING OF BOGIE WELDED FRAME AND ITS INFLUENCE ON LIFE PREDICTION by LIU Xu, ZHANG KaiLin, ZHOU ChunPing, LIU ChangLin

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Status of research on prediction models for severity in confirmed Covid-19 patients by Maicel Eugenio Monzón-Pérez, Lizet Sánchez-Valdés, Elizabeth Rieche-Gómez, Agustín Lage-Dávila

“…Introduction: Previous knowledge in the scientific literature on clinical prediction models in patients with COVID-19 may be useful for the development of new research. …”
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Construction of a prediction model for sarcopenic obesity based on machine learning by Mengru Xu, Mengru Xu, Jia Liu, Jia Liu, Song Hu, Song Hu, Tongxiao Luan, Tongxiao Luan, Yuting Duan, Yuting Duan, Aohua Wang, Aohua Wang, Ziwei Cui, Ziwei Cui, Jing Zhou, Yongjun Mao, Yongjun Mao

“…Among these models, the RF model exhibited the best average performance in the training set, with an AUC value of 0.839.ConclusionWe constructed a predictive model based on the results of the RF model, combining four clinical predictors—BMI, Barthel Index score, grip strength, and calf circumference—to reliably predict SO.…”
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Performance Analysis of an Optimized ANN Model to Predict the Stability of Smart Grid by Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, Jyotir Moy Chatterjee

“…This study concludes that the deep learning predictive model ANN optimized with Adam optimizer provides better results than other predictive models. …”
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A virtual scalable model of the Hepatic Lobule for acetaminophen hepatotoxicity prediction by Stelian Camara Dit Pinto, Jalal Cherkaoui, Debarshi Ghosh, Valentine Cazaubon, Kenza E. Benzeroual, Steven M. Levine, Mohammed Cherkaoui, Gagan K. Sood, Sharmila Anandasabapathy, Sadhna Dhingra, John M. Vierling, Nicolas R. Gallo

“…Abstract Addressing drug-induced liver injury is crucial in drug development, often causing Phase III trial failures and market withdrawals. Traditional animal models fail to predict human liver toxicity accurately. …”
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Periodformer: An Energy Consumption Prediction Model Based on Decomposition of Time Series by CHEN Bowen, DENG Jian, ZHU Qianliu

Subjects: “…train energy consumption prediction…”
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Advanced KPI framework for IVF pregnancy prediction models in IVF protocols by Sergei Sergeev, Iuliia Diakova

“…Leveraging recurrent neural networks, our model demonstrates high accuracy in predicting the likelihood of clinical pregnancy within specific IVF treatment cycles (AUC = 0.68–0.86; test accuracy = 0.78, F1 score = 0.71, sensitivity = 0.62; specificity = 0.86) comparable to time-lapse system but with a simpler approach. …”
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Thermodynamic Modeling and Phase Prediction for Binary System Dinitrogen Monoxide and Propane by Alireza Bozorgian, Behrouz Raei

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Application of Improved EEMD-NNBR Coupling Model in Annual Runoff Prediction by ZHENG Fangfang, WANG Wensheng, ZHANG Lanting

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Improving model-free prediction of chaotic dynamics by purifying the incomplete input by Hongfang Tan, Lufa Shi, Shengjun Wang, Shi-Xian Qu

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