L. Anand
Papers
1
Total Citations
4
H-Index
1
About
L. Anand is a researcher in computational intelligence and biomedical informatics, with a primary focus on developing machine learning and optimization techniques for medical data analysis. Their most-cited work, "Feature Selection for Liver Disease using Particle Swarm Optimization Algorithm" (2019), introduces a novel application of swarm intelligence to improve diagnostic accuracy by selecting the most relevant features from complex medical datasets. This contribution addresses a critical challenge in healthcare data mining: enhancing the efficiency and reliability of automated disease classification. With 4 citations, this paper has laid groundwork for integrating metaheuristic algorithms into clinical decision support systems. Anand's research sits at the intersection of information mining and medical diagnostics, aiming to reduce human error and improve early detection of liver diseases—a growing global health concern. Their work underscores the potential of computational methods to transform raw medical data into actionable insights, making them a notable contributor to the evolving field of intelligent healthcare systems.
Research Focus
Key Achievements
Top Papers
- 1