Current - Issue
Original Article
Hyper-Parameter Tuning on Liver Disorder Prediction Models
Vaishnavi Nampally1
Poojitha Nampally2
Bhatracharyulu N. Ch.3
1 3 Department of Statistics, Osmania University, Hyderabad, Telangana, India. 2 Department of Oral Medicine and Radiology, Government Dental College and Hospital, KNRUHS, Hyderabad, Telangana, India.
Published Online: May-June 2026
Pages: 177-181
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260603020
References
1. Hutter, F., Kotthoff, L., & Vanschoren, J. (2019): “Automated Machine Learning: Methods, Systems, Challenges”, Springer Nature.
2. Schiff, E. R., Maddrey, W. C., & Reddy, K. R. (2017): “Schiff's Diseases of the Liver” (12th ed.), Wiley-Blackwell.
3. Mitchell, T. M. (1997): “Machine Learning”, New York: McGraw-hill.
2. Schiff, E. R., Maddrey, W. C., & Reddy, K. R. (2017): “Schiff's Diseases of the Liver” (12th ed.), Wiley-Blackwell.
3. Mitchell, T. M. (1997): “Machine Learning”, New York: McGraw-hill.
Related Articles
2026
A Strategic Framework for Depth-Dependent Hydroelectric Conversion along the Indian Coastline
2026
Reimagining Development in India: A Critical Analysis of the Viksit Bharat Vision
2026
AI-Enabled Image Description: Bridging the Gap for the Visually Impaired
2026
Perceived Occupational Risks of Emergency Medical Services Personnel
2026
Origin, Growth and recent Development of Integrated Reporting (IR): A theoretical Review
2026
