Abstract: This paper examines the usefulness of logistic regression in forecasting the consumer bankruptcy using an imbalanced dataset. It aims to build statistical models that help identify consumers ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
This project aims to predict house prices using the Ames Housing dataset. The goal is to preprocess the data, train a stacking model with multiple base models, and ...
Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...
Objective: This study explored latent profiles of Health Information-Seeking Behavior (HISB) among stroke patients and analyzed its influencing factors. Methods: In this cross-sectional study, 311 ...
Abstract: In bioinformatics, the rapid development of sequencing technology has enabled us to collect an increasing amount of omics data. Classification based on omics data is one of the central ...
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