Prediction models based on machine learning algorithms for COVID-19 severity risk by Hansong Zhang, Ying Wang, Yan Xie, Cuihan Wang, Yuqi Ma, Xin Jin

Subjects: “…Prediction models…”
Get full text

Machine Learning Models for Predicting Mortality in Hemodialysis Patients: A Systematic Review by Alexandru Catalin Motofelea, Adelina Mihaescu, Nicu Olariu, Luciana Marc, Lazar Chisavu, Gheorghe Nicusor Pop, Andreea Crintea, Ana Maria Cristina Jura, Viviana Mihaela Ivan, Adrian Apostol, Adalbert Schiller

“…This systematic review and meta-analysis aimed to evaluate and compare the performance of various machine learning (ML) models in predicting mortality among HD patients. …”
Get full text

Predicting EFL Learners’ Self-Regulated Learning through Technology Acceptance Model by Yusup Supriyono, Francisca Maria Ivone, Dedi Heryadi, Lorna Beduya, Luis Luigi Eugenio A. Valencia

Get full text

Prediction of Water Quality in Agricultural Watersheds Based on VMD-GA-LSTM Model by Yuxuan Luo, Xianglan Meng, Yutong Zhai, Dongqing Zhang, Kaiping Ma

“…The analysis of water quality data from the Baima River in China demonstrated that the VMD-GA-LSTM model significantly reduced prediction errors compared to other similar models. …”
Get full text

Risk Factor Analysis and Prediction Model Construction and Validation of Depression During Pregnancy by Huiling Qu, Yanna Zhou, Yi Yu

“…The ROC analysis demonstrated an area under the curve (AUC) of 0.806 for the joint prediction model, with a sensitivity of 66.4% and a specificity of 83.5%, suggesting a strong clinical diagnostic value. …”
Get full text

Construction of a Column Chart Model for Predicting TCRP Recurrence in Gravid Women by Xuqing Chen, Jing Li, Hui Liang, Nanxiang Lei

“…Conclusion: The nomogram model constructed in this study is conducive to predicting the recurrence of women of childbearing age after TCRP, and may be helpful for preventing and treating polyp recurrence.…”
Get full text

Data-Driven Neural Differential Equation Model and Stochastic Dynamics for Glioma Prediction by Mohammed Salman, Sanjay Kumar Mohanty

“…This study presents a unique low-grade glioma mathematical model and predicts the parameters of the model through real data using deep learning. …”
Get full text

A pedestrian group crossing intention prediction model integrating spatiotemporal features by Hai Zou, Yongqing Guo, Fulu Wei, Dong Guo, Qingyin Li, Jahongir Pirov

“…Against this backdrop, this paper proposes a pedestrian group crossing intention prediction model that integrates spatiotemporal features to enhance the accuracy of pedestrian behavior prediction in autonomous driving scenarios. …”
Get full text

Predicting Dilution in Underground Mines with Stacking Artificial Intelligence Models and Genetic Algorithms by Jorge L. V. Mariz, Tertius S. G. Ferraz, Marinésio P. Lima, Ricardo M. A. Silva, Hyongdoo Jang

“…Furthermore, four stacking models were constructed by aggregating the top-performing base learners, giving rise to ensemble metamodels applied, for the first time, to the task of dilution prediction in underground mining.…”
Get full text

Transport models for predicting spontaneous ignition of pressurized hydrogen released into a tube by Gang Luo, Wenping Zhang, Zixuan Yang, Lijing Zhang, Jinfeng Zhang

“…In this paper, OpenFOAM is employed to study three different transport models for predicting spontaneous ignition of pressurized hydrogen released into a tube. …”
Get full text

Atmospheric dispersion model to predict the impact of gaseous pollutant in an industrial and mining cluster by D.S. Kumar, S.H. Bhushan, D.A. Kishore

“…The model performance has been evaluated by comparing the measured and predicted concentrations of SO2 and NO2. …”
Get full text

Development and Comparison of Machine Learning and Deep Learning Models for Speech Audiometry Prediction by Jae sung Shin, Jun Ma, Mao Makara, Nak-Jun Sung, Seong Jun Choi, Sung yeup Kim, Min Hong

“…These findings suggest that machine learning models, particularly gradient boosting and XGBoost, outperform deep learning models in SA prediction. …”
Get full text

Metro Station Passenger Volume Prediction Algorithm Based on Improved LSTNet Model by XU Ling, GUAN Jianbo, XU Xiwei, BAN Yong

Subjects: Get full text

Apply Ridge Regression Model to Predict the Lateral Velocity Difference of Tight Reservoirs by HAN Longfei, ZHANG Yongfei, WANG Miaomiao, LI Yu

“…In order to improve the accuracy of predicting the lateral wave time lag, a ridge regression model for predicting the lateral wave time lag is constructed. …”
Get full text

Research on water quality prediction of Jiangshan Port based on SCV-CBA model by Yiting Xu, Zhaoju Liu

“…In dissolved oxygen prediction, the model outperformed others with MSE of 0.08925, RMSE of 0.29875, MAE of 0.20300, and R2 of 0.97679. …”
Get full text

Interpretable machine learning models for survival prediction in prostate cancer bone metastases by Hua Zhang, Bingtian Dong, Jialin Han, Lewen Huang

“…However, existing clinical models lack precision. This study seeks to establish machine learning models to improve survival predictions for PCBM patients. …”
Get full text

Driver Takeover Performance Prediction Based on LSTM-BiLSTM-ATTENTION Model by Lijie Chen, Daofei Li, Tao Wang, Jun Chen, Quan Yuan

“…However, current takeover prediction models suffer from poor prediction accuracy and do not consider the time dependence of input features. …”
Get full text

Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic by Denilson de Oliveira Silva, Richard Matheus Avelino da Silva, Patrícia Virgínia de Santana Lima, Jéssica Cristina Pereira Batista, Sílvio Fernando Alves Xavier Júnior

Get full text

Rutting Prediction Model of Asphalt Mixture Based on the Triaxial Repeated Load Test by Jie Ji, Meng Chen, Zhi Suo, Jianming Wei, Jiani Wang, Lei Chen

“…This study establishes a more reasonable and effective rutting prediction model called the quadratic modified Burgers rheological model by considering dynamic loads. …”
Get full text

OncoImmune machine-learning model predicts immune response and prognosis in leiomyosarcoma by Jingrong Deng, Changfa Shu, Dong Wang, Richard Nimbona, Xingping Zhao, Dabao Xu

“…Using a machine learning approach, we developed a prognostic model based on OncoImmune hub DEGs, which offers a moderate accuracy in predicting risk levels among LMS patients. …”
Get full text