Research output per year
Research output per year
Personal profile
Research interests
Microprocessors, Microcontrollers and Biomedical Instrumentation
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Collaborations and top research areas from the last five years
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Research output
- 6 Article
-
An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients
Chadaga, K., Khanna, V., Prabhu, S., Sampathila, N., Chadaga, R., Umakanth, S., Bhat, D., Swathi, K. S. & Kamath, R., 12-2024, In: Scientific Reports. 14, 1, 24454.Research output: Contribution to journal › Article › peer-review
Open Access8 Citations (Scopus) -
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
Chadaga, K., Prabhu, S., Sampathila, N., Chadaga, R., Umakanth, S., Bhat, D. & G S, S. K., 12-2024, In: Scientific Reports. 14, 1, 1783.Research output: Contribution to journal › Article › peer-review
Open Access42 Citations (Scopus) -
Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers
Vivek Khanna, V., Chadaga, K., Sampathila, N., Prabhu, S., Chadaga P, R., Bhat, D. & K. S, S., 2024, In: Cogent Engineering. 11, 1, 2330266.Research output: Contribution to journal › Article › peer-review
Open Access19 Citations (Scopus) -
SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques
Chadaga, K., Prabhu, S., Sampathila, N., Chadaga, R., Bhat, D., Sharma, A. K. & Swathi, K. S., 01-04-2024, In: SLAS Technology. 29, 2, p. 100129 1 p., 100129.Research output: Contribution to journal › Article › peer-review
Open Access11 Citations (Scopus) -
A decision support system for osteoporosis risk prediction using machine learning and explainable artificial intelligence
Khanna, V. V., Chadaga, K., Sampathila, N., Chadaga, R., Prabhu, S., K S, S., Jagdale, A. S. & Bhat, D., 12-2023, In: Heliyon. 9, 12, e22456.Research output: Contribution to journal › Article › peer-review
Open Access32 Citations (Scopus)