Evaluation of Noninvasive Tools for Predicting Esophageal Varices in Patients With Cirrhosis at Tygerberg Hospital, Cape Town by Lawrence Kwape, Shiraaz Gabriel, Ahmad Abdelsalem, Penelope Rose, Lefika Bathobakae, Dale Peterson, Desiree Moodley, Mohammed Parker, Saadiq Moolla, Arifa Parker, Keatlaretse Siamisang, Christoffel Van Rensburg, Ernst Fredericks

“…Conclusion: SSM and SSPS have the highest diagnostic accuracy for predicting the presence of EVs in patients with compensated cirrhosis. …”
Get full text

Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19 by Guokang Zhu, Jia Li, Zi Meng, Yi Yu, Yanan Li, Xiao Tang, Yuling Dong, Guangxin Sun, Rui Zhou, Hui Wang, Kongqiao Wang, Wang Huang

“…In this study, we propose a framework, which is based on the heart rate and sleep data collected from wearable devices, to predict the epidemic trend of COVID-19 in different countries and cities. …”
Get full text

A Review of the Methods for Predicting the Effective In-Plane Shear Modulus of Cross-Laminated Timber (CLT) by Mehsam Tanzim Khan, Ying Hei Chui, Dongsheng Huang

Get full text

Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA by Lok Hua Lee, Cyrus Su Hui Ho, Yee Ling Chan, Gabrielle Wann Nii Tay, Cheng-Kai Lu, Tong Boon Tang

Subjects: “…Treatment response prediction…”
Get full text

Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy. by Xiaohua Zeng, Changzhou Liang, Qian Yang, Fei Wang, Jieping Cai

“…Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time series data. …”
Get full text

SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

“…IntroductionAccurate prediction of immunogenic proteins is crucial for vaccine development and understanding host-pathogen interactions in bacterial diseases, particularly for Salmonella infections which remain a significant global health challenge.MethodsWe developed SHASI-ML, a machine learning-based framework for predicting immunogenic proteins in Salmonella species. …”
Get full text

Freeway Traffic Speed Prediction under the Intelligent Driving Environment: A Deep Learning Approach by Chengying Hua, Wei (David) Fan

“…For vehicles to perform effectively and improve mobility under the intelligent driving environment, real-time prediction of traffic speed is undoubtedly essential. …”
Get full text

Advancing buffet onset prediction: a deep learning approach with enhanced interpretability for aerodynamic engineering by Jing Wang, Wei Liu, Hairun Xie, Miao Zhang

“…Developing efficient and reliable techniques for buffet onset prediction is crucial for the advancement of civil aircraft. …”
Get full text

Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator by Zhan-bo Chen

“…In order to improve the performance prediction accuracy of hydraulic excavator, the regression least squares support vector machine is applied. …”
Get full text

Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction by Hui Wang, LiPing Wang, QiCang Qiu, Yuyan Gao, WenJuan Li, QiuShun Wang

Subjects: Get full text

A Metabolic Gene Signature to Predict Overall Survival in Head and Neck Squamous Cell Carcinoma by Zeng-Hong Wu, Yun Tang, Yue Zhou

“…Taken together, our study unearths a novel metabolic gene signature for the prediction of HNSCC prognosis based on the TCGA dataset. …”
Get full text

Assessment and Prediction of Salivary Gland Function After Head and Neck Radiotherapy: A Systematic Review by J. Le Guevelou, X. Palard‐Novello, E. Kammerer, M. Baty, M. Perazzi, A. Larnaudie, R. De Crevoisier, J. Castelli

“…The primary aim of this review was to summarize evidence on the imaging modalities used for the assessment and prediction of xerostomia after head and neck radiotherapy (RT). …”
Get full text

Detection and Prediction of Internal-Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model by Yanwen Wang, Xuran Zhang, Le Wang, Yinsheng Wang

“…The algorithm model can satisfy the requirement for early detection and prediction in the very early stage of cable internal-caused fire.…”
Get full text

Mortality Predicted Accuracy for Hepatocellular Carcinoma Patients with Hepatic Resection Using Artificial Neural Network by Herng-Chia Chiu, Te-Wei Ho, King-Teh Lee, Hong-Yaw Chen, Wen-Hsien Ho

“…The aim of this present study is firstly to compare significant predictors of mortality for hepatocellular carcinoma (HCC) patients undergoing resection between artificial neural network (ANN) and logistic regression (LR) models and secondly to evaluate the predictive accuracy of ANN and LR in different survival year estimation models. …”
Get full text

Blink Detection Using 3D Convolutional Neural Architectures and Analysis of Accumulated Frame Predictions by George Nousias, Konstantinos K. Delibasis, Georgios Labiris

Subjects: Get full text

Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia by Caitlin A. Finney, David A. Brown, Artur Shvetcov

“…Abstract Existing dementia prediction models using non-neuroimaging clinical measures have been limited in their ability to identify disease. …”
Get full text

Development and validation of a prediction model for acute kidney injury following cardiac valve surgery by Xiaotong Jia, Jun Ma, Zeyou Qi, Dongni Zhang, Junwei Gao

Subjects: Get full text

Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

Get full text

Application of artificial neural networks for predictive model of municipal solid waste collection in tourist cities by T. Kridakorn Na Ayutthaya, N. Jakrawatana, D. Rinchumphu, V. Owatsakul

Subjects: Get full text

Crash Prediction on Expressway Incorporating Traffic Flow Continuity Parameters Based on Machine Learning Approach by Tian Lei, Jia Peng, Xingliang Liu, Qin Luo

“…Real-time crash prediction helps identify and prevent the occurrence of traffic crash. …”
Get full text