Bayesian Networks modeling of diarrhetic shellfish poisoning in Mytilus edulis harvested in Bantry Bay, Ireland

X Wang, Y Bouzembrak, HJP Marvin, D Clarke, F Butler - Harmful algae, 2022 - Elsevier
Abstract Diarrhetic Shellfish Poisoning (DSP) results from the human consumption of
contaminated shellfish with marine biotoxins, which are produced by some species of …

A dynamic Bayesian network‐based emergency decision‐making framework highlighting emergency propagations: Illustrated using the Fukushima nuclear accidents …

Y Cai, MW Golay - Risk Analysis, 2023 - Wiley Online Library
When facing public emergencies, human societies need to make decisions rapidly in order
to mitigate the problems. However, this process can be difficult due to complexity of the …

Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network

D Santra, JK Mandal, SK Basu, S Goswami - Medical & Biological …, 2020 - Springer
The paper focuses on the development of a reliable medical expert system for diagnosis of
low back pain (LBP) by proposing an efficient frame-based knowledge representation …

[HTML][HTML] Validating the Accuracy of a Patient-Facing Clinical Decision Support System in Predicting Lumbar Disc Herniation: Diagnostic Accuracy Study

F Badahman, M Alsobhi, A Alzahrani… - Diagnostics, 2024 - mdpi.com
Background: Low back pain (LBP) is a major cause of disability globally, and the diagnosis
of LBP is challenging for clinicians. Objective: Using new software called Therapha, this …

Image-Based Classical Features and Machine Learning Analysis of Skin Cancer Instances

A Almutairi, RU Khan - Applied Sciences, 2023 - mdpi.com
Skin conditions influence people of all ages and genders and impose an enormous strain on
worldwide public health. For efficient management and medical treatment, skin disorders …

Aircraft complex system diagnosis based on design knowledge and real-Time monitoring information

X Chen, H Ren, C Bil, HW Jiang - Journal of Aerospace Information …, 2018 - arc.aiaa.org
In current aircraft maintenance, diagnostic and troubleshooting procedures may sometimes
consume great time and energy due to large uncertainty especially for highly integrated …

[PDF][PDF] Fitness trackers and wearable devices: how to prevent inference risks?

I Torre, F Koceva, OR Sanchez… - Proceedings of the 11th …, 2016 - researchgate.net
Wearable and personal devices are becoming more and more part of people's everyday
lives. These devices produce enormous amount of personal data which are handled by third …

Machine Learning for Biomedical and Health Informatics

S Bhattacharya, C Chakraborty - Big Data, IoT, and Machine …, 2020 - taylorfrancis.com
The objective of machine language (ML) is to create algorithms that have the capability to
automatically learn and then improve themselves so that these experienced and improved …

[PDF][PDF] An industrial fault diagnosis system based on bayesian networks

A Bacha, AH Sabry, J Benhra - International Journal of Computer …, 2015 - researchgate.net
This paper presents a DC motor fault diagnosis system based on Bayesian networks. This
was done by the design of a new electromechanical test bed allowing the collection of …

An Analysis for the Qualitative Improvement of Education and Learning Based on the Way of Learner Errors in Descriptive Questions.

M Tsubaki, W Ogawara, K Tanaka - International Electronic Journal of …, 2020 - ERIC
This study proposes and examines an analytical method with the aim of improving the
quality of education and learning by situating the answers to full descriptive questions in …