Correction: BioData Mining 17, 54 (2024)
10.1186/s13040-024-00399-5
Following publication of the original article [1], the authors identified a production error in affiliation 1.
The incorrect affiliation 1 is:
Department of Computer Science, King Saud University, Riyadh, Saudi Arabia.
The correct affiliation 1 is:
Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, Delhi, India.
The original article [1] has been corrected.
Footnotes
The online version of the original article can be found at 10.1186/s13040-024-00399-5.
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Reference
- 1.Gupta R, Bhandari M, Grover A, et al. Predictive modeling of ALS progression: an XGBoost approach using clinical features. BioData Min. 2024;17:54. 10.1186/s13040-024-00399-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
