Monitoring multistage healthcare processes using state space models and a machine learning based framework-Reference-Cited by-同舟云学术

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

Published:2024-05 Issue: Volume:151 Page:102826
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Yeganeh Ali^ORCID,Johannssen Arne^ORCID,Chukhrova Nataliya^ORCID,Rasouli Mohammad

Publisher

Elsevier BV

Reference72 articles.

1. Introduction to statistical quality control;Montgomery,2019

2. Assessment of extreme rainfall through statistical process control-I chart;Abeysingha;J Earth Syst Sci,2023

3. A network surveillance approach using machine learning based control charts;Yeganeh;Expert Syst Appl,2023

4. Design multivariate statistical process control procedure in the case of Ethio cement;Tegegne;Int J Qual Reliab Manag,2022

5. Deep learning for multivariate statistical in-process control in discrete manufacturing: a case study in a sheet metal forming process;Biegel;Proc CIRP,2022

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1. MambaSR: Arbitrary-Scale Super-Resolution Integrating Mamba with Fast Fourier Convolution Blocks;Mathematics;2024-07-30

2. High-dimensional control charts with application to surveillance of grease damage in bearings of wind turbines;Production & Manufacturing Research;2024-07-09

3. Developing Machine Learning-based Control Charts for Monitoring Different GLM-type Profiles With Different Link Functions;Applied Artificial Intelligence;2024-06-05

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