Development and validation of a Prediction Model for Chronic Thromboembolic Pulmonary Disease by Guixiang Liu, Jing Wen, Chunyi Lv, Mingjie Liu, Min Li, Kexia Fang, Jianwen Fei, Nannan Zhang, Xuehua Li, Huarui Wang, Yuanyuan Sun, Ling Zhu

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Comparison of Empirical and Deep Learning Models for Solar Wind Speed Prediction by Seungwoo Ahn, Jihyeon Son, Yong-Jae Moon, Hyun-Jin Jeong

“…In this study, we compare representative empirical models with a deep learning model for predicting solar wind speed at 1 au. …”
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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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The relationship between anxiety disorders and alcohol use: predictors and predictive modeling by Dmitriy S. Radionov, Tatiana A. Karavaeva

“…Using CHAID analysis and logistic regression, researchers developed a predictive model with high accuracy (AuROC=0.937), which takes into account both clinical and individual psychological characteristics. …”
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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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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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Predictive Analytics in Agriculture: Machine Learning Models for Coconut Tree Health by Goswami Anjali, Kirit Dhablia Dharmesh

“…Active machine learning (ML) models have started replacing the conventional methods of crops health management and farm productivity with predictive analytics. …”
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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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Practitioner perspectives on informing decisions in One Health sectors with predictive models by Kim M. Pepin, Keith Carlisle, Richard B. Chipman, Dana Cole, Dean P. Anderson, Michael G. Baker, Jackie Benschop, Michael Bunce, Rachelle N. Binny, Nigel French, Suzie Greenhalgh, Dion RJ O’Neale, Scott McDougall, Fraser J. Morgan, Petra Muellner, Emil Murphy, Michael J. Plank, Daniel M. Tompkins, David TS Hayman

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