Limited access to health data remains a challenge for develo** machine learning (ML)
models. Health data is difficult to share due to privacy concerns and often does not have …

Change point detection aims to identify abrupt shifts occurring at multiple points within a
data sequence. This task becomes particularly challenging in the online setting, where …

Change detection in biomedical signals is crucial for understanding physiological processes
and diagnosing medical conditions. This study evaluates various change detection methods …

This work studies the application of change point detection on daily hospital patient
admissions to develop a decision support system for hospital management. Change point …