Author Correction: An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients
Saved in:
Main Authors: | Krishnaraj Chadaga, Varada Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth, Devadas Bhat, K. S. Swathi, Radhika Kamath |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-025-86494-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients
by: Krishnaraj Chadaga, et al.
Published: (2024-10-01) -
Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach
by: Radhika Kamath, et al.
Published: (2020-01-01) -
Pediatric Appendicitis Score and Ultrasound in children with Acute Appendicitis: An Observational Study
by: Suyog Simkhada, et al.
Published: (2025-01-01) -
Perception and impact of customized physical activity programs on objective physical activity parameters in prediabetes
by: Radhika Aditya Jadhav, et al.
Published: (2025-03-01) -
Phlegmonous appendicitis as a variant of uncomplicated appendicitis
by: Tezcan Akın, et al.
Published: (2025-02-01)