A machine learning-based predictive model for predicting early neurological deterioration in lenticulostriate atheromatous disease-related infarction by Zhuangzhuang Jiang, Dongjuan Xu, Hongfei Li, Xiaolan Wu, Yuan Fang, Chen Lou

“…Background and aimThis study aimed to develop a predictive model for early neurological deterioration (END) in branch atheromatous disease (BAD) affecting the lenticulostriate artery (LSA) territory using machine learning. …”
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Combining biomarkers to construct a novel predictive model for predicting preoperative lymph node metastasis in early gastric cancer by Yujian He, Xiaoli Xie, Bingxue Yang, Xiaoxu Jin, Zhijie Feng

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A dynamic prediction model for predicting the time at which patients with MCI progress to AD based on time-dependent covariates by Yanjie Wang, Yu Song, Chengfeng Zhang, Jiaqiao Ren, Pansheng Xue, Yawen Hou, Zheng Chen

“…The C-index and the mean prediction error of the cross validation are better than the static RMST model. …”
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Development and validation of a risk model for prediction of hazardous alcohol consumption in general practice attendees: the predictAL study. by Michael King, Louise Marston, Igor Švab, Heidi-Ingrid Maaroos, Mirjam I Geerlings, Miguel Xavier, Vicente Benjamin, Francisco Torres-Gonzalez, Juan Angel Bellon-Saameno, Danica Rotar, Anu Aluoja, Sandra Saldivia, Bernardo Correa, Irwin Nazareth

“…We aimed to develop a prediction model (predictAL) for the development of hazardous drinking in safe drinkers.…”
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Vehicle Stability Control Based on Model Predictive Control Considering the Changing Trend of Tire Force Over the Prediction Horizon by Shaosong Li, Guodong Wang, Bangcheng Zhang, Zhixin Yu, Gaojian Cui

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Can we predict hypoadrenocorticism in dogs with resting hypocortisolemia? A predictive model based on clinical, haematological, and biochemical variables by Nuno Sousa Santos, Tiago Dias Domingues, Antonio Maria Tardo, Marta Dinis, Luísa Mateus, Federico Fracassi, Rodolfo Oliveira Leal, Rodolfo Oliveira Leal

“…Descriptive analysis was performed along with a predictive model, using univariable and multivariable logistic regression analysis.ResultsOf the 92 included dogs, hypoadrenocorticism was diagnosed in 29 patients (32.2%) based on ACTHst results (HA group). …”
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Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…This study presents a novel high dimensional quadratic regression with penalty based predictive model for forecasting generation cost and selling price per unit in hydroelectric energy systems. …”
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A Novel Energy Consumption Prediction Model Integrating Real-Time Traffic State Recognition and Velocity Prediction of BEVs by Yue Li, Yu Jiang, Jianhua Guo, Dong Xie

“…The widespread adoption of battery electric vehicles (BEVs) has highlighted the critical importance of precise energy consumption prediction models to address the problem of range anxiety among drivers. …”
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PREDICTING OF THE DEVELOPMENT OF THE ENTERPRISE BY USING NEURAL NETWORK TOOLS by Nataliia PARKHOMENKO

Subjects: “…prediction…”
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Age-period-cohort analysis and prediction of tuberculosis trends in China—based on the Global Burden of Disease 2021 data by Zhifei Chen, Xiaodie Chen, Minli Chang, Dongmei Lu, Liping Zhang, Yanling Zheng, Yanling Zheng

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Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions by Wenxin Xu, Jie Chen, Gerald Corzo, Chong‐Yu Xu, Xunchang John Zhang, Lihua Xiong, Dedi Liu, Jun Xia

Subjects: “…monthly streamflow prediction…”
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Ensemble deep learning models for tropical cyclone intensity prediction using heterogeneous datasets by Dikshant Gupta, Menaka Pushpa Arthur

Subjects: “…Ensemble model…”
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Development and Validation of a Predictive Model for Growth of Salmonella Infantis in Ground Turkey by Thomas P. Oscar

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Enhancing Skill of Initialized Decadal Predictions Using a Dynamic Model of Drift by Balasubramanya T. Nadiga, Tarun Verma, Wilbert Weijer, Nathan M. Urban

Subjects: “…initialized predictions…”
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Energy Prediction Method for Metro HVAC Systems based on the ARMA Model by Huang Ronggeng, Long Jing, Pan Zhigang, Chen Huanxin, Liu Jiangyan, Liu Jiahui, Li Zhengfei

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Prediction on the Peak of the CO2 Emissions in China Using the STIRPAT Model by Li Li, Yalin Lei, Chunyan He, Sanmang Wu, Jiabin Chen

“…Therefore, by setting a low scenario, a middle scenario, and a high scenario, this paper predicts China’s carbon emissions peak from 2015 to 2035 based on the data from 1998 to 2014 using the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. …”
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Predictive athlete performance modeling with machine learning and biometric data integration by Qin Jianjun, Haytham F. Isleem, Walaa J. K. Almoghayer, Mohammad Khishe

Subjects: “…Predictive athlete performance modeling…”
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Research on the prediction model of gas emission based on grey system theory by Liyang Bai, Hui Geng, Guangming Yu

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Correcting for case-mix shift when developing clinical prediction models by Haya Elayan, Matthew Sperrin, Glen P. Martin, Niels Peek, Frieder Braunschweig, Jonas Faxén, Joakim Alfredsson, David A. Jenkins

Subjects: “…Clinical Prediction Models…”
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Establishment and comparison of prediction models for early-stage diabetic kidney disease by Yingda Sheng, Jianguo Cheng, Caimei Zhang, Feifei Ma, Qian Xiao, Dan Wang, Jianwen Zhang, Xiaoqin Ha

“…Then, conventional statistical methods and MLMs are applied to establish models separately to determine optimal prediction models. …”
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