Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges

K Tidriri, N Chatti, S Verron, T Tiplica - Annual Reviews in Control, 2016 - Elsevier
Abstract Fault Diagnosis and Health Monitoring (FD-HM) for modern control systems have
been an active area of research over the last few years. Model-based FD-HM computational …

[HTML][HTML] Applying naive bayesian networks to disease prediction: a systematic review

M Langarizadeh, F Moghbeli - Acta Informatica Medica, 2016 - ncbi.nlm.nih.gov
Objective: This paper aims to review published evidence about the application of NBNs in
predicting disease and it tries to show NBNs as the fundamental algorithm for the best …

A review on data‐driven learning approaches for fault detection and diagnosis in chemical processes

SAA Taqvi, H Zabiri, LD Tufa, F Uddin… - ChemBioEng …, 2021 - Wiley Online Library
Fault detection and diagnosis for process plants has been an active area of research for
many years. This review presents a concise overview on supervised and unsupervised data …

Epidemiology of lung cancer and approaches for its prediction: a systematic review and analysis

AK Dubey, U Gupta, S Jain - Chinese journal of cancer, 2016 - Springer
Background Owing to the use of tobacco and the consumption of alcohol and adulterated
food, worldwide cancer incidence is increasing at an alarming and frightening rate. Since …

Review of statistical and methodological issues in the forensic prediction of malingering from validity tests: Part I: Statistical issues

C Leonhard - Neuropsychology review, 2023 - Springer
Forensic neuropsychological examinations with determination of malingering have
tremendous social, legal, and economic consequences. Thousands of studies have been …

Implementation and use of disease diagnosis systems for electronic medical records based on machine learning: A complete review

J Latif, C Xiao, S Tu, SU Rehman, A Imran… - IEEE Access, 2020 - ieeexplore.ieee.org
Electronic health records are used to extract patient's information instantly and remotely,
which can help to keep track of patients' due dates for checkups, immunizations, and to …

A comprehensive survey on the progress, process, and challenges of lung cancer detection and classification

MF Mridha, AR Prodeep, ASMM Hoque… - Journal of …, 2022 - Wiley Online Library
Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

A generic framework for decision fusion in fault detection and diagnosis

K Tidriri, T Tiplica, N Chatti, S Verron - Engineering Applications of Artificial …, 2018 - Elsevier
In this paper, we propose a unified framework that enables decisions fusion for applications
dealing with multiple heterogeneous Fault Detection and Diagnosis (FDD) methods. This …

Application of a novel hybrid algorithm of Bayesian network in the study of hyperlipidemia related factors: a cross-sectional study

X Wang, J Pan, Z Ren, M Zhai, Z Zhang, H Ren… - BMC Public Health, 2021 - Springer
Background This article aims to understand the prevalence of hyperlipidemia and its related
factors in Shanxi Province. On the basis of multivariate Logistic regression analysis to find …

Prevalence of hyperlipidemia in Shanxi Province, China and application of Bayesian networks to analyse its related factors

J Pan, Z Ren, W Li, Z Wei, H Rao, H Ren, Z Zhang… - Scientific reports, 2018 - nature.com
This study aimed to obtain the prevalence of hyperlipidemia and its related factors in Shanxi
Province, China using multivariate logistic regression analysis and tabu search-based …