historically struggled to adhere to such treatment in face-to-face (F2F) Healthcare 2025, 13, 647 https://doi.org/10.3390/healthcare13060647 Healthcare 2025, 13, 647 2 of 15 settings, where they often have to travel between clinics and compete for limited feasible appointment times [6,7]...
Cost-sensitive learning is crucial in domains like healthcare to prevent misclassifications with serious consequences, such as type II errors in water potability assessment. Keywords: ChatGPT; water potability; water quality; machine learning; zero shot-learning; cost-sensitive learning Citation: ...