Heart disease prediction by using novel optimization algorithm: A supervised learning prospective
Data analysis in medicine is becoming more and more frequent to clarify diagnoses, refine research methods, and plan appropriate equipment supplies according to the importance of the pathologies that appear. Artificial intelligence offers software solutions that are required to analyze the present d...
Main Authors: | Sibo Prasad Patro, Gouri Sankar Nayak, Neelamadhab Padhy |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-01-01
|
Series: | Informatics in Medicine Unlocked |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914821001805 |
Similar Items
-
Solid waste recycling and management cost optimization algorithm
by: Al-Janabi, T.A, et al.
Published: (2022) -
Ultra-Short-Term Wind Power Prediction by Salp Swarm Algorithm-Based Optimizing Extreme Learning Machine
by: Lian Tan, et al.
Published: (2020-01-01) -
Predicting Compressive Strength of Concrete Containing Recycled Aggregate Using Modified ANN with Different Optimization Algorithms
by: Amirreza Kandiri, et al.
Published: (2021-01-01) -
Predicting Coronary Atherosclerotic Heart Disease: An Extreme Learning Machine with Improved Salp Swarm Algorithm
by: Wenming He, et al.
Published: (2020-10-01) -
Locomotion-based Hybrid Salp Swarm Algorithm for Parameter Estimation of Fuzzy Representation-based Photovoltaic Modules
by: Rizk M. Rizk-Allah, et al.
Published: (2021-01-01)