Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules

S Kharya, S Soni, T Swarnkar - International Journal of Information …, 2023 - Springer
In this current work, Weighted Bayesian Association rules using the Fuzzy set theory are
proposed with the new concept of Fuzzy Weighted Bayesian Association Rules to design …

[PDF][PDF] A comparative study of machine learning algorithms for the prediction of heart disease

H Arghandabi, P Shams - … Journal for Research in Applied Science …, 2020 - academia.edu
The heart is a significant organ of the human body. These days heart disease has become
an important issue in humans, nearly one person dies per minute. To deal with this problem …

Data Pre-processing Issues in Medical Data Classification

A Tuppad, SD Patil - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
With the digitalization of data and the rise of the World Wide Web, access to information has
been very easy and affordable. Especially the Web and the Internet have boosted research …

The role of exploratory data analysis and pre-processing in the machine learning predictive model for heart disease

K Mahalakshmi, P Sujatha - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The heart is the organ which pumps blood to the human body. There is an important need
for early disease prediction systems for heart related problems. The disease prediction …

A UCB-Based Tree Search Approach to Joint Verification-Correction Strategy for Large-Scale Systems

P Xu, X Deng, A Salado - IEEE Transactions on Systems, Man …, 2023 - ieeexplore.ieee.org
Verification planning is a sequential decision-making problem that specifies a set of
verification activities (VAs) and correction activities (CAs) at different phases of system …

Enhanced fuzzy random forest by using doubly randomness and copying from dynamic dictionary attributes

Z Bian, FL Chung, S Wang - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
While fuzzy random forest (FRF) as a fuzzy implementation of random forest has earned its
strong ambiguity/uncertainty handling capability on a rich variety of considerably low …

[PDF][PDF] A Hybrid Machine Learning Model to Predict Heart Disease Accurately

S Subramanian, YA Christobel - Indian J. Sci …, 2022 - sciresol.s3.us-east-2.amazonaws …
Objective: To propose the most effective machine learning algorithm for predicting cardiac
problems. Methods: The dataset used for this study is “heart” which was taken from www …

Utilising Exploratory Data Analysis and Machine Learning Algorithms for Heart Disease Analysis and Prediction

H Khan, P Singh - Journal of Management and Service …, 2024 - jmss.a2zjournals.com
As one of the most common and potentially fatal diseases in the world, heart disease must
be detected early for proper treatment. With exploratory data analysis (EDA) and machine …

Design of joint verification-correction strategies for engineered systems

P Xu - 2022 - vtechworks.lib.vt.edu
Abstract System verification is a critical process in the development of engineered systems.
Engineers gain confidence in the correct functionality of the system by executing system …

Challenges and Future Directions of Fuzzy System in Healthcare Systems: A Survey

M Bhardwaj, J Sharma, YC Hu… - Soft Computing …, 2023 - taylorfrancis.com
The recent decade has seen a rise in support for the use of fuzzy knowledge–based systems
to deal with a wide variety of medical decision-making issues. These systems routinely …