Background Control charts, used in healthcare operations to monitor process stability and
quality, are essential for ensuring patient safety and improving clinical outcomes. This …

Monitoring healthcare processes, such as surgical outcomes, with a keen focus on detecting
changes and unnatural conditions at an early stage is crucial for healthcare professionals …

High-dimensional data, characterized by having more attributes or variables than
observations, presents unique challenges in industrial operations surveillance. Traditional …

In certain situations, the quality of a process is determined by dependent variables in
relation to independent variables, often modeled through a regression framework referred to …

Background: At the time of cancer diagnosis, it is crucial to accurately classify malignant
gastric tumors and the possibility that patients will survive. Objective: This study aims to …

Due to the high frequency of sensor data collection in modern industries, consecutive
observations are potentially autocorrelated. Failing to address this issue adequately when …

Maintaining consistent quality of Chaoshan beef meatballs (CBMs) is challenging due to the
intricate production processes and stringent raw material requirements, with no effective …

Recent findings indicate a growing trend in data analysis within healthcare using statistical
process control. However, the diversity of variables involved necessitates the expansion of …

Correlation diagnosis in multivariate process quality management is an important and
challenging issue. In this paper, a new diagnostic method based on quality component …