A review on statistical process control in healthcare: data-driven monitoring schemes

BE Pérez-Benítez, VG Tercero-Gómez… - IEEe …, 2023 - ieeexplore.ieee.org
In recent years, the adoption of statistical process monitoring (SPM) techniques in
healthcare has been successful. For instance, biosurveillance and biosignal monitoring …

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) …

Brain tumor segmentation using a patch-based convolutional neural network: A big data analysis approach

F Ullah, A Salam, M Abrar, F Amin - Mathematics, 2023 - mdpi.com
Early detection of brain tumors is critical to ensure successful treatment, and medical
imaging is essential in this process. However, analyzing the large amount of medical data …

[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 …

ETISTP: An enhanced model for brain tumor identification and survival time prediction

S Hussain, S Haider, S Maqsood, R Damaševičius… - Diagnostics, 2023 - mdpi.com
Technology-assisted diagnosis is increasingly important in healthcare systems. Brain tumors
are a leading cause of death worldwide, and treatment plans rely heavily on accurate …

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 …

Designing a log-logistic-based EWMA control chart using MOPSO and VIKOR approaches for monitoring cardiac surgery performance

AN Pour, A Azizi, A Rahimzadeh… - … in Management and …, 2024 - dmame-journal.org
This study aims to develop a risk-adjusted Exponentially Weighted Moving Average (EWMA)
control chart for computer-based performance monitoring in cardiac surgery. Patients have …

New machine-learning control charts for simultaneous monitoring of multivariate normal process parameters with detection and identification

H Sabahno, STA Niaki - Mathematics, 2023 - mdpi.com
Simultaneous monitoring of the process parameters in a multivariate normal process has
caught researchers' attention during the last two decades. However, only statistical control …

Combination of sequential sampling technique with GLR control charts for monitoring linear profiles based on the random explanatory variables

A Yeganeh, M Parvizi Amineh, A Shadman… - Mathematics, 2023 - mdpi.com
Control charts play a beneficial role in the manufacturing process by reduction of non-
compatible products and improving the final quality. In line with these aims, several adaptive …

Optimal Thresholding for Multi-Window Computed Tomography (CT) to Predict Lung Cancer

M Nasir, MS Farid, Z Suhail, MH Khan - Applied Sciences, 2023 - mdpi.com
Lung cancer is the world's second-largest cause of cancer mortality. Patients' lives can be
saved if this malignancy is detected early. Doctors, however, encounter difficulties in …