Rajagopala Chadaga

According to our database, Rajagopala Chadaga authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence.

Krishnaraj Chadaga, Varada Vivek Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Anisha Palkar

J. Intell. Syst., February, 2024

Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases.

Roshan Kumar, V. Srirama, Krishnaraj Chadaga, H. Muralikrishna, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga

IEEE Access, 2024

An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas.

Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth

IEEE Access, 2024

2023

Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence.

Susmita S., Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Swathi Katta S.

Inf., 2023

Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach.

Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga

Intell. Decis. Technol., 2023

2022

Diagnosing COVID-19 using artificial intelligence: a comprehensive review.

Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Shashikiran Umakanth

Netw. Model. Anal. Health Informatics Bioinform., 2022