Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance

A Yeganeh, A Shadman, SC Shongwe… - Neural Computing and …, 2023 - Springer
Various applications of control charts in the field of health-care monitoring and surveillance
can be found in the literature. As one of the major categories, monitoring binary outcomes of …

A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders

A Yeganeh, A Johannssen, N Chukhrova… - Artificial Intelligence in …, 2023 - Elsevier
In recent years, there has been a considerable focus on developing effective methods for
monitoring health care processes. Utilizing Statistical Process Monitoring (SPM) …

[HTML][HTML] Monitoring multistage healthcare processes using state space models and a machine learning based framework

A Yeganeh, A Johannssen, N Chukhrova… - Artificial Intelligence in …, 2024 - Elsevier
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 …

Risk adjusted EWMA control chart based on support vector machine with application to cardiac surgery data

M Noor-ul-Amin, I Khan, ARR Alzahrani… - Scientific Reports, 2024 - nature.com
In the current study, we demonstrate the use of a quality framework to review the process for
improving the quality and safety of the patient in the health care department. The …

A new phase Ⅱ risk-adjusted CUSUM chart for monitoring surgical performance

L Li, Y Liu, Y Shang, Z Liu - Computers & Industrial Engineering, 2023 - Elsevier
In recent years, the use of risk-adjusted control charts for monitoring surgical performance
has gained significant attention among researchers. However, many existing monitoring …

Risk adjustment-based statistical control charts with a functional covariate

Q Hu, L Liu - Quality Technology & Quantitative Management, 2025 - Taylor & Francis
In real applications, there are situations in which quality characteristics are significantly
affected by function-valued covariates such as electrocardiogram (ECG) signals; however …

Transforming healthcare performance monitoring–A cutting-edge approach with generalized additive profiles: GAMs for healthcare quality monitoring

M Waqas, SH Xu, MU Aslam, S Hussain, G Masengo - Medicine, 2024 - journals.lww.com
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 …

A risk‐adjusted exponentially weighted moving average control chart for detection of the scale parameter in surgical quality monitoring

X Lai, X Li, L Liu, J Wang, X Zhang… - Quality and Reliability …, 2024 - Wiley Online Library
Risk‐adjusted control charts have been widely used in monitoring surgical quality in
detecting risks of surgical performance. Most of the previous approaches focus on shifts in …

Enhancing Risk-Adjusted EWMA Control Chart Utilizing Artificial Neural Networks

AAH Ahmadini, I Khan, H AlQadi, S Hussain - Journal of Statistical Theory …, 2024 - Springer
This study focuses on implementing a quality framework to improve patient quality and
safety in healthcare. Evaluating the performance of healthcare services, especially under …

Identification and validation the predictive biomarkers based on risk-adjusted control chart in gemcitabine with or without erlotinib for pancreatic cancer therapy

A Zhao, D Tu, Y He, L Liu, B Wu, Y Ren - Frontiers in Genetics, 2024 - frontiersin.org
Background In a randomized clinical controlled trial (PA. 3) conducted by the Canadian
Cancer Trials Group, the effects of gemcitabine combined with the targeted drug erlotinib …