Research output per year
Research output per year
Search results
-
2025
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 Access -
Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes
Darshan, B. S. D., Sampathila, N., Bairy, G. M., Prabhu, S., Belurkar, S., Chadaga, K. & Nandish, S., 01-2025, In: Scientific Reports. 15, 1, 505.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
2024
An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers
B S, D. D., Sharma, P., Chadaga, K., Sampathila, N., Bairy, G. M., Belurkar, S., Prabhu, S. & K S, S., 2024, In: Systems Science and Control Engineering. 12, 1, 2420927.Research output: Contribution to journal › Article › peer-review
Open Access -
An Explainable Decision Support Framework for Differential Diagnosis between Mild COVID-19 and Other Similar Influenzas
Chadaga, K., Prabhu, S., Sampathila, N., Chadaga, R. & Umakanth, S., 2024, In: IEEE Access. 12, p. 75010-75033 24 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
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 Access2 Citations (Scopus) -
An interpretable schizophrenia diagnosis framework using machine learning and explainable artificial intelligence
Shivaprasad, S., Chadaga, K., Dias, C. C., Sampathila, N. & Prabhu, S., 2024, In: Systems Science and Control Engineering. 12, 1, 2364033.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A regularized volumetric ConvNet based Alzheimer detection using T1-weighted MRI images
Goenka, N., Sharma, A. K., Tiwari, S., Singh, N., Yadav, V., Prabhu, S. & Chadaga, K., 2024, In: Cogent Engineering. 11, 1, 2314872.Research output: Contribution to journal › Article › peer-review
Open Access6 Citations (Scopus) -
Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks
Nayak, T., Gokulkrishnan, N., Chadaga, K., Sampathila, N., Mayrose, H. & Swathi, K. S., 2024, In: Cogent Engineering. 11, 1, 2357182.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Classification of Social Anxiety Disorder Using Explainable Machine Learning and Pearson's Correlation Technique
Bathula, S., Chadaga, K., Prabhu, S. & Sampathila, N., 2024, 8th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 292-297 6 p. (8th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health
Bhandage, V., Prabhu, S., Hadimani, B. S., Chadaga, K., Sampathila, N. & Shetty, S., 2024, In: IEEE Access. 12, p. 102027-102034 8 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence
Chadaga, K., Khanna, V. V., Prabhu, S., Sampathila, N., Chadaga, R. & Palkar, A., 01-01-2024, In: Journal of Intelligent Systems. 33, 1, 20240077.Research output: Contribution to journal › Article › peer-review
Open Access -
Detection of anemic condition in patients from clinical markers and explainable artificial intelligence
Darshan, B. S. D., Sampathila, N., Bairy, M. G., Belurkar, S., Prabhu, S. & Chadaga, K., 12-07-2024, In: Technology and health care : official journal of the European Society for Engineering and Medicine. 32, 4, p. 2431-2444 14 p.Research output: Contribution to journal › Article › peer-review
-
Detection of sickle cell disease using deep neural networks and explainable artificial intelligence
Goswami, N. G., Goswami, A., Sampathila, N., Bairy, M. G., Chadaga, K. & Belurkar, S., 01-01-2024, In: Journal of Intelligent Systems. 33, 1, 20230179.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (Scopus) -
Digital Pathology in Healthcare: Current Trends and Future Perspective
Goswami, N. G., Sampathila, N., Bairy, G. M., Chadaga, K., Goswami, A. & Belurkar, S., 20-06-2024, In: International journal of online and biomedical engineering. 20, 9, p. 65-82 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI
Palkar, A., Dias, C. C., Chadaga, K. & Sampathila, N., 2024, In: IEEE Access. 12, p. 31697-31718 22 p.Research output: Contribution to journal › Article › peer-review
Open Access6 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 Access20 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 Access7 Citations (Scopus) -
Explainable Deep Learning for Dermatology: Psoriasis vs. Eczema with Grad-CAM
Castelino, G. J., Chadaga, K. & Sampathila, N., 2024, 2nd IEEE International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 194-199 6 p. (2nd IEEE International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Explainable machine learning methods to predict postpartum depression risk
Shivaprasad, S., Chadaga, K., Sampathila, N., Prabhu, S., Chadaga P, R. & K S, S., 2024, In: Systems Science and Control Engineering. 12, 1, 2427033.Research output: Contribution to journal › Article › peer-review
Open Access -
IoT-based greenhouse technologies for enhanced crop production: a comprehensive study of monitoring, control, and communication techniques
Singh, N., Sharma, A. K., Sarkar, I., Prabhu, S. & Chadaga, K., 2024, In: Systems Science and Control Engineering. 12, 1, 2306825.Research output: Contribution to journal › Article › peer-review
Open Access12 Citations (Scopus) -
Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model
Cenitta, D., Vijaya Arjunan, R., Paramasivam, G., Arul, N., Palkar, A. & Chadaga, K., 2024, (Accepted/In press) In: IEEE Access.Research output: Contribution to journal › Article › peer-review
Open Access -
Patient Risk Classification based on Vital Signs using Machine Learning Algorithm
Prabhu, S., Bairy, G. M., Sampathila, N. & Chadaga, K., 2024, 2024 4th International Conference on Intelligent Technologies, CONIT 2024. Institute of Electrical and Electronics Engineers Inc., (2024 4th International Conference on Intelligent Technologies, CONIT 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence
Bhat, T. K., Chadaga, K., Sampathila, N., KS, S., Chadaga, R., Umakanth, S. & Prabhu, S., 2024, In: Systems Science and Control Engineering. 12, 1, 2331074.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine
Muhaimil, A., Pendem, S., Sampathilla, N., P S, P., Nayak, K., Chadaga, K., Goswami, A., M, O. C. & Shirlal, A., 2024, In: F1000Research. 13, p. 1035 1 p., 1035.Research output: Contribution to journal › Article › peer-review
Open Access2 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.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases
Kumar, R., Srirama, V., Chadaga, K., Muralikrishna, H., Sampathila, N., Prabhu, S. & Chadaga, R., 2024, In: IEEE Access. 12, p. 189515-189534 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy
Dsilva, L. R., Tantri, S. H., Sampathila, N., Mayrose, H., Muralidhar Bairy, G., Belurkar, S., Saravu, K., Chadaga, K. & Hafeez-Baig, A., 01-2024, In: International Journal of Imaging Systems and Technology. 34, 1, e23020.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
2023
A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence
Chadaga, K., Prabhu, S., Bhat, V., Sampathila, N., Umakanth, S. & Chadaga, R., 04-2023, In: Bioengineering. 10, 4, 439.Research output: Contribution to journal › Article › peer-review
Open Access27 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 Access16 Citations (Scopus) -
A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome
Khanna, V. V., Chadaga, K., Sampathila, N., Prabhu, S., Bhandage, V. & Hegde, G. K., 04-2023, In: Applied System Innovation. 6, 2, 32.Research output: Contribution to journal › Article › peer-review
Open Access52 Citations (Scopus) -
A machine learning and explainable artificial intelligence approach for predicting the efficacy of hematopoietic stem cell transplant in pediatric patients
Chadaga, K., Prabhu, S., Sampathila, N. & Chadaga, R., 11-2023, In: Healthcare Analytics. 3, 100170.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus) -
A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
Khanna, V. V., Chadaga, K., Sampathila, N., Prabhu, S. & Rajagopala Chadaga, P., 06-2023, In: Decision Analytics Journal. 7, 100246.Research output: Contribution to journal › Article › peer-review
Open Access32 Citations (Scopus) -
An Explainable Framework to Predict Child Sexual Abuse Awareness in People Using Supervised Machine Learning Models
Chadaga, K., Prabhu, S., Sampathila, N., Chadaga, R., Bairy, M. & Swathi, K. S., 2023, (Accepted/In press) In: Journal of Technology in Behavioral Science.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
An explainable multi-class decision support framework to predict COVID-19 prognosis utilizing biomarkers
Chadaga, K., Prabhu, S., Bhat, V., Sampathila, N., Umakanth, S., Chadaga, R., Shashi Kumar, G. S. & Swathi, K. S., 2023, In: Cogent Engineering. 10, 2, 2272361.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review
Chadaga, K., Prabhu, S., Sampathila, N., Nireshwalya, S., Katta, S. S., Tan, R. S. & Acharya, U. R., 03-2023, In: Diagnostics. 13, 5, 824.Research output: Contribution to journal › Review article › peer-review
Open Access46 Citations (Scopus) -
Artificial intelligence for diagnosis of mild-moderate COVID-19 using haematological markers
Chadaga, K., Prabhu, S., Bhat, V., Sampathila, N., Umakanth, S. & Chadaga, R., 01-12-2023, In: Annals of Medicine. 55, 1, p. 2233541 1 p., 2233541.Research output: Contribution to journal › Article › peer-review
Open Access16 Citations (Scopus) -
Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings
Krishnamoorthy, A., Bairy, G. M., Siddeshappa, N., Mayrose, H., Sampathila, N. & Chadaga, K., 02-2023, In: Computers. 12, 2, 43.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador
Chadaga, K., Prabhu, S., Bhat, V., Sampathila, N., Umakanth, S. & Upadya P, S., 01-12-2023, In: SLAS Technology. 28, 6, p. 393-410 18 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Current trends of artificial intelligence and applications in digital pathology: A comprehensive review
Goswami, N. G., Karnad, S., Sampathila, N., Muralidhar Bairy, G., Chadaga, K. & Swathi, K. S., 12-2023, In: International Journal of Advanced and Applied Sciences. 10, 12, p. 29-41 13 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Deep learning based detection of monkeypox virus using skin lesion images
Nayak, T., Chadaga, K., Sampathila, N., Mayrose, H., Gokulkrishnan, N., Bairy G, M., Prabhu, S., S, S. K. & Umakanth, S., 06-2023, In: Medicine in Novel Technology and Devices. 18, 100243.Research output: Contribution to journal › Article › peer-review
Open Access37 Citations (Scopus) -
Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence
Nayak, T., Chadaga, K., Sampathila, N., Mayrose, H., Muralidhar Bairy, G., Prabhu, S., Katta, S. S. & Umakanth, S., 2023, In: Applied Mathematics in Science and Engineering. 31, 1, 2225698.Research output: Contribution to journal › Article › peer-review
Open Access14 Citations (Scopus) -
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence
Susmita, S., Chadaga, K., Sampathila, N., Prabhu, S., Chadaga, R. & Swathi Katta, S., 08-2023, In: Information (Switzerland). 14, 8, 435.Research output: Contribution to journal › Article › peer-review
Open Access12 Citations (Scopus) -
Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach
Chadaga, K., Prabhu, S., Sampathila, N. & Chadaga, R., 20-11-2023, In: Intelligent Decision Technologies. 17, 4, p. 959-982 24 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
2022
AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model
Acharya, V., Dhiman, G., Prakasha, K., Bahadur, P., Choraria, A., M, S., J, S., Prabhu, S., Chadaga, K., Viriyasitavat, W. & Kautish, S., 2022, In: Computational Intelligence and Neuroscience. 2022, 1 p., 2399428.Research output: Contribution to journal › Article › peer-review
Open Access41 Citations (Scopus) -
Classification of Malaria Using Object Detection Models
Krishnadas, P., Chadaga, K., Sampathila, N., Rao, S., Swathi, K. S. & Prabhu, S., 12-2022, In: Informatics. 9, 4, 76.Research output: Contribution to journal › Article › peer-review
Open Access41 Citations (Scopus) -
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
Chadaga, K., Chakraborty, C., Prabhu, S., Umakanth, S., Bhat, V. & Sampathila, N., 06-2022, In: Interdisciplinary Sciences: Computational Life Sciences. 14, 2, p. 452-470 19 p.Research output: Contribution to journal › Article › peer-review
Open Access51 Citations (Scopus) -
COVID-19 Mortality Prediction using Machine Learning: A Deep Forest Approach
Chadaga, K., Prabhu, S., Vivekananda Bhat, K., Sampathila, N., Umakanth, S. & Chadaga, R., 2022, 2022 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 245-250 6 p. (2022 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Citations (Scopus) -
Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images
Sampathila, N., Chadaga, K., Goswami, N., Chadaga, R. P., Pandya, M., Prabhu, S., Bairy, M. G., Katta, S. S., Bhat, D. & Upadya, S. P., 10-2022, In: Healthcare (Switzerland). 10, 10, 1812.Research output: Contribution to journal › Article › peer-review
Open Access61 Citations (Scopus) -
Diagnosing COVID-19 using artificial intelligence: a comprehensive review
Khanna, V. V., Chadaga, K., Sampathila, N., Prabhu, S., Chadaga, R. & Umakanth, S., 12-2022, In: Network Modeling Analysis in Health Informatics and Bioinformatics. 11, 1, 25.Research output: Contribution to journal › Review article › peer-review
Open Access31 Citations (Scopus) -
Medical diagnosis of COVID-19 using blood tests and machine learning
Chadaga, K., Prabhu, S., Vivekananda Bhat, K., Umakanth, S. & Sampathila, N., 11-01-2022, In: Journal of Physics: Conference Series. 2161, 1, 012017.Research output: Contribution to journal › Conference article › peer-review
Open Access19 Citations (Scopus)