| Prediction of COVID-19 trend in India and its four worst-affected states using modified SEIRD and LSTM models P Bedi, S Dhiman, P Gole, N Gupta, V Jindal SN computer science 2, 1-24, 2021 | 41 | 2021 |
| Smart contract based central sector scheme of scholarship for college and university students P Bedi, P Gole, S Dhiman, N Gupta Procedia Computer Science 171, 790-799, 2020 | 26 | 2020 |
| Knowledge graph enrichment from clinical narratives using NLP, NER, and biomedical ontologies for healthcare applications A Thukral, S Dhiman, R Meher, P Bedi International Journal of Information Technology 15 (1), 53-65, 2023 | 20 | 2023 |
| OHF: An ontology based framework for healthcare S Dhiman, A Thukral, P Bedi International Conference on Artificial Intelligence and Speech Technology …, 2021 | 5 | 2021 |
| Prediction of COVID-19 trend in India and its four worst-affected states using modified SEIRD and LSTM models B Punam, S Dhiman, P Gole, N Gupta, V Jindal SN computer science 2 (3), 1-24, 2021 | 3 | 2021 |
| Classification of genetic mutations using ontologies from clinical documents and deep learning P Bedi, Shivani, N Gupta, P Jagwani, V Bhasin Web Semantics, 233-250, 2021 | 2 | 2021 |
| Predicting the Peak and COVID-19 trend in six high incidence countries: A study based on Modified SEIRD model P Bedi, S Dhiman, N Gupta, V Jindal, P Gole medRxiv, 2020.12. 14.20248117, 2020 | 2 | 2020 |
| Explainable AI in Disease Diagnosis P Bedi, A Thukral, S Dhiman Explainable AI in Health Informatics, 87-111, 2024 | | 2024 |
| Impact of Clinical Features on Disease Diagnosis Using Knowledge Graph Embedding and Machine Learning: A Detailed Analysis S Dhiman, A Thukral, P Bedi International Conference on Advanced Network Technologies and Intelligent …, 2023 | | 2023 |
Dr Punam BediSenior Professor, Department of Computer Science, University of Delhi, IndiaVerified email at cs.du.ac.in
