Predictive potential of the bankruptcy global models in the tourism industry by Agustín Del Castillo García, Sergio Manuel Fernández Miguélez

“…As a consequence, previous research has provided bankruptcy prediction models both of a global nature for certain industries or regions of the world, and models focused on certain economic activities. …”
Get full text

Models to predict relapse in psychosis: A systematic review. by Sarah Sullivan, Kate Northstone, Caroline Gadd, Julian Walker, Ruta Margelyte, Alison Richards, Penny Whiting

“…<h4>Background</h4>There is little evidence on the accuracy of psychosis relapse prediction models. Our objective was to undertake a systematic review of relapse prediction models in psychosis.…”
Get full text

Causal models and prediction in cell line perturbation experiments by James P. Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do

“…This has led to the development of computational models that can predict cellular responses to perturbations in silico. …”
Get full text

Risk models to predict hypertension: a systematic review. by Justin B Echouffo-Tcheugui, G David Batty, Mika Kivimäki, Andre P Kengne

“…Eleven studies reporting on 15 different hypertension prediction risk models were identified. Age, sex, body mass index, diabetes status, and blood pressure variables were the most common predictor variables included in models. …”
Get full text

Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

“…This analytical tool is instrumental in pinpointing the most influential attributes necessary for effective model training. By streamlining the feature selection process, ANOVA not only enhances the performance of the models but also conserves computational resources, making the approach more efficient overall. …”
Get full text

Hierarchical Neural Regression Models for Customer Churn Prediction by Golshan Mohammadi, Reza Tavakkoli-Moghaddam, Mehrdad Mohammadi

“…The experimental results show that the hierarchical models outperform the single Cox regression baseline model in terms of prediction accuracy, Types I and II errors, RMSE, and MAD metrics. …”
Get full text

Machine Learning Models for the Prediction of Wind Loads on Containerships by Nastia Degiuli, Carlo Giorgio Grlj, Ivana Martić, Sandi Baressi Šegota, Nikola Anđelić, Darin Majnarić

“…The study demonstrates that accurate prediction of wind load coefficients is feasible, making these models a reliable tool for practical engineering applications.…”
Get full text

Risk Factors and Predictive Models for Sarcopenia in Older Adults by Shiyuan Zhang, Xue Yang, Nina An, Meng Lv, Lanyu Yang, Rui Liu, Song Hu, Weiguo Chen, Wenjing Feng, Yongjun Mao

Subjects: Get full text

Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

“…Data science has become an essential component in professional sports, particularly for predicting team performance and outcomes. This study aims to develop and evaluate machine learning models that accurately predict game outcomes in the Chinese Professional Baseball League (CPBL). …”
Get full text

Comparative Analysis of Wear Models for Accurate Wear Predictions by Guntis Springis, Irina Boiko

“…Recent advancements have sought to address these limitations by integrating probabilistic surface modelling, fatigue-based degradation theories, and numerical simulations to enhance wear predictions. …”
Get full text

Incorporating prediction in models for two-dimensional smooth pursuit. by John F Soechting, Hrishikesh M Rao, John Z Juveli

“…The objective of this study was to characterize the predictive contributions to pursuit tracking more precisely by developing analytical models for predictive smooth pursuit. …”
Get full text

Bankruptcy Prediction Models for Construction Companies in the Russian Federation by A. V. Voiko

Subjects: Get full text

Adversarial defense for battery state-of-health prediction models by Masoumeh Mohammadi, Insoo Sohn

“…Results indicate that the proposed strategy significantly improves the model’s ability to accurately predict SOH, even in the presence of malicious data.…”
Get full text

Predictive analysis of doubly Type-Ⅱ censored models by Young Eun Jeon, Yongku Kim, Jung-In Seo

Get full text

Machine learning models for enhanced stroke detection and prediction by Shilpa Bajaj, Manju Bala, Mohit Angurala

“…This research evaluates the performance of three machine learning models—OzNet-mRMR-NB, Logistics Regression, and an Ensemble CNN—using medical images for stroke prediction. …”
Get full text

Transforming Drug Discovery with Miniaturized Predictive Tissue Models by Mohsen Akbari

Get full text

Comparative Analysis of Several Models for Churning Customer Prediction by Tan Zhaoyuan

“…This study compares three machine learning models: Random Forest, XGBoost Classifier, and Light Gradient Boosting Machine Classifier for predicting credit card customer churn using a dataset from Kaggle. …”
Get full text

Comparisons of Machine Learning Models for Prediction of Susceptibility to Diabetes by Jiao Yutian

“…This study compares the predictive performance of machine learning models such as Random Forest (RF), Logistic Regression (LR), and Support Vector Machine (SVM). …”
Get full text

Enhancing molecular property prediction with quantized GNN models by Areen Rasool, Jamshaid Ul Rahman, Rongin Uwitije

“…These challenges hinder the deployment of property prediction models on resource-constrained devices such as smartphones and IoT devices. …”
Get full text

Prediction of Air Quality Index Using Ensemble Models by Theresia Herlina Rochadiani

Subjects: Get full text