Research output per year
Research output per year
Personal profile
Education
B.E., M.Tech., Ph.D
Research Interests
Area of Interest
Artificial Intelligence, Machine Learning, Data Science, Health Informatics and Casual Inference.
Area of Expertise
Artificial Intelligence, Machine Learning, Data Science, Health Informatics and Casual Inference.
Area of Research
Artificial Intelligence, Machine Learning, Data Science, Health Informatics and Casual Inference.
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Dive into the research topics where Krishnaraj Chadaga is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Model of the First Trimester Evaluation of Foetal Movements and Their Outcomes via Explainable Artificial Intelligence: A Multicentric Study
Pavanya, M., Chadaga, K., Vennila, J., Vasudeva, A., Rao, B. K. & Bhat, S. K., 01-01-2025, In: Healthcare Technology Letters. 12, 1, e70014.Research output: Contribution to journal › Article › peer-review
Open Access -
An explainable analytical approach to heart attack detection using biomarkers and nature-inspired algorithms
Bairy, M., Chadaga, K., Sampathila, N., Arjunan, R. V. & Bairy, G. M., 12-2025, In: Healthcare Analytics. 8, 100407.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A unified model of explainable regression and AES-based data security for soybean yield prediction
Prabhu, O., Samanth, S. & Chadaga, K., 12-2025, In: Smart Agricultural Technology. 12, 101506.Research output: Contribution to journal › Article › peer-review
Open Access -
Behavioural Intentions to Adopt Artificial Intelligence in Healthcare: Exploring the Perception of Healthcare Professionals
Swathi, K. S., Aswathy, S., Kavitha, T. C., Chadaga, K. & Sampathila, N., 2025, (Accepted/In press) In: Journal of Technology in Behavioral Science.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Cardiac Clarity: Harnessing Machine Learning for Accurate Heart-Disease Prediction
Santhosh, S., Chadaga, K., Vijaya Arjunan, R. & D'Souza, S., 2025, In: IEEE Access. 13, p. 97529-97544 16 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)