Handling Big Microarray Data: A Novel Approach to Design Accurate Fuzzy-Based Medical Expert System
The genes data produced by microarray experiments is complex in terms of dimensions and samples. It consumes a lot of computation power and time when it is processed for a disease analysis while working with an expert system. At the same time, data can help doctors identify a patient’s he...
Main Authors: | Ganeshkumar Pugalendhi, M. Mazhar Rathore, Dhirendra Shukla, Anand Paul |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10072401/ |
Similar Items
-
Hybridization of data-driven threshold algorithm with fuzzy particle swarm optimization technique for gene selection in microarray data
by: Paul Olujide Adebayo, et al.
Published: (2024-03-01) -
Spatial Kernel Fuzzy Clustering Methods for Microarray Image Spot Segmentation
by: M. P. Priya, et al.
Published: (2023-01-01) -
Fuzzy expert systems and fuzzy reasoning /
by: 395406 Siler, William, et al.
Published: (2005) -
Fuzzy expert systems /
by: Kandel, Abraham
Published: (1992) -
Expert systems and fuzzy systems /
by: Negoita, C. V. (Constantin Virgil)
Published: (1985)