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 …
healthcare has been successful. For instance, biosurveillance and biosignal monitoring …
A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders
In recent years, there has been a considerable focus on developing effective methods for
monitoring health care processes. Utilizing Statistical Process Monitoring (SPM) …
monitoring health care processes. Utilizing Statistical Process Monitoring (SPM) …
Brain tumor segmentation using a patch-based convolutional neural network: A big data analysis approach
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 …
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
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 …
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 …
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 …
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 …
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
Simultaneous monitoring of the process parameters in a multivariate normal process has
caught researchers' attention during the last two decades. However, only statistical control …
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
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 …
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
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 …
saved if this malignancy is detected early. Doctors, however, encounter difficulties in …