Prediction and Diagnosis of Diabetes Mellitus using a Water Wave Optimization Algorithm
Data mining is an appropriate way to discover information and hidden patterns in large amounts of data, where the hidden patterns cannot be easily discovered in normal ways. One of the most interesting applications of data mining is the discovery of diseases and disease patterns through investigatin...
Main Authors: | S. Taherian Dehkordi, A. Khatibi Bardsiri, M. H. Zahedi |
---|---|
Format: | Article |
Language: | English |
Published: |
Shahrood University of Technology
2019-11-01
|
Series: | Journal of Artificial Intelligence and Data Mining |
Subjects: | |
Online Access: | http://jad.shahroodut.ac.ir/article_1567_33c48b430329aa2def551f03f3f076c9.pdf |
Similar Items
-
Crop cultivation planning with fuzzy estimation using water wave optimization
by: Li-Chang Liu, et al.
Published: (2023-03-01) -
A novel fractional order proportional integral derivative plus second-order derivative controller for load frequency control
by: Bhuvnesh Khokhar, et al.
Published: (2021-03-01) -
A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing
by: Tarik A. Rashid, et al.
Published: (2018-06-01) -
ESTIMATING THE CHARGING CONSUMPTION FOR EVs USING A NOVEL NEURAL NETWORK TECHNIQUE
by: G. Ezhilarasan, et al.
Published: (2024-03-01) -
TASA: A New Task Scheduling Algorithm in Cloud Computing
by: Somayeh Taherian Dehkordi, et al.
Published: (2015-11-01)