| Heart rate variability as a marker of cardiovascular dysautonomia in post-COVID-19 syndrome using artificial intelligence B Shah, S Kunal, A Bansal, J Jain, S Poundrik, MK Shetty, V Batra, ... Indian pacing and electrophysiology journal 22 (2), 70-76, 2022 | 63 | 2022 |
| Explainable AI decision model for ECG data of cardiac disorders A Anand, T Kadian, MK Shetty, A Gupta Biomedical Signal Processing and Control 75, 103584, 2022 | 55 | 2022 |
| ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects A Agrawal, A Chauhan, MK Shetty, MD Gupta, A Gupta Computers in Biology and Medicine 146, 105540, 2022 | 22 | 2022 |
| COVID 19-related burnout among healthcare workers in India and ECG based predictive machine learning model: Insights from the BRUCEE-Li study MD Gupta, MK Jha, A Bansal, R Yadav, S Ramakrishanan, MP Girish, ... Indian heart journal 73 (6), 674-681, 2021 | 18 | 2021 |
| Design and rationale of an intelligent algorithm to detect BuRnoUt in HeaLthcare workers in COVID era using ECG and artificiaL intelligence: The BRUCEE-LI study MD Gupta, A Bansal, PG Sarkar, MP Girish, M Jha, J Yusuf, S Kumar, ... Indian heart journal 73 (1), 109-113, 2021 | 13 | 2021 |
| Machine learning based model for risk prediction after ST-Elevation myocardial infarction: Insights from the North India ST elevation myocardial infarction (NORIN-STEMI) registry MK Shetty, S Kunal, MP Girish, A Qamar, S Arora, M Hendrickson, ... International journal of cardiology 362, 6-13, 2022 | 11 | 2022 |
| Pharmacokinetic/pharmacodynamic profiling of imipenem in patients admitted to an intensive care unit in India: A nonrandomized, cross-sectional, analytical, open-labeled study B Abhilash, CD Tripathi, AR Gogia, GG Meshram, M Kumar, B Suraj Indian Journal of Critical Care Medicine: Peer-reviewed, Official …, 2015 | 10 | 2015 |
| Variability in plasma concentration of cefotaxime in critically ill patients in an Intensive Care Unit of India and its pharmacodynamic outcome: A nonrandomized, prospective … B Abhilash, CD Tripathi, AR Gogia, GG Meshram, M Kumar, B Suraj Journal of Pharmacology and Pharmacotherapeutics 7 (1), 15-21, 2016 | 6 | 2016 |
| X-ECGNet: An interpretable DL model for stress detection using ECG in COVID-19 healthcare workers A Gupta, D Kansal, V Gupta, MK Shetty, MP Girish, MD Gupta 2021 4th International Conference on Bio-Engineering for Smart Technologies …, 2021 | 5 | 2021 |
| Predictive validity of some common animal models of bipolar disorder using lithium and lamotrigine therapy: an attempt towards a battery-based approach for the evaluation of … M Kumar, CD Tripathi, V Verma, BM Padhy, GG Meshram, B Abhilash Psychiatry Investigation 13 (4), 434, 2016 | 5 | 2016 |
| Interpretable ai model-based predictions of ecg changes in covid-recovered patients A Gupta, J Jain, S Poundrik, MK Shetty, MP Girish, MD Gupta 2021 4th International Conference on Bio-Engineering for Smart Technologies …, 2021 | 3 | 2021 |
| Heart rate variability in post-COVID-19 recovered subjects using machine learning S Kunal, MK Shetty, B Shah, MP Girish, A Bansal, V Batra, ... Circulation 144 (Suppl_1), A14096-A14096, 2021 | 2 | 2021 |
| PREVALENCE AND PREDICTORS OF COVID 19 RELATED BURNOUT AMONG HEALTHCARE WORKERS; FINDINGS FROM BRUCEE LI STUDY MD Gupta, M Jha, MP Girish, A Bansal, PG Sarkar, J Yusuf, S Kumar, ... Journal of the American College of Cardiology 77 (18_Supplement_1), 3110-3110, 2021 | 2 | 2021 |
| Antiangiogenic activity of zinc and zinc-sorafenib combination using the chick chorioallantoic membrane assay: A descriptive study M Kumar, GG Meshram, T Rastogi, S Sharma, R Gupta, S Jain, A Prasad, ... Journal of Cancer Research and Therapeutics 16 (Suppl 1), S84-S89, 2020 | 2 | 2020 |
| Effect of N-Acetyl cysteine on some behavioral and oxidative Stress parameters in sleep deprived mice JS PrasadA, M Kumar, T Rastogi, SK Bhattacharya International Journal of Recent Trends in Science and Technology 19 (3), 404-409, 2016 | 2 | 2016 |
| Building an AI Model on ECG Data for Identifying Burnout/Stressed Healthcare Workers Involved in Covid-19 Management A Mahajan, MK Shetty, G M. P., MD Gupta, A Gupta Fourth International Conference on Electrical, Computer and Communication …, 2021 | 1 | 2021 |
| Machine learning to identify high-risk patients after stemi in low/middle income countries MD Gupta, MK Shetty, G MP, S Arora, A Qamar, M Vaduganathan, ... Journal of the American College of Cardiology 77 (18_Supplement_1), 147-147, 2021 | 1 | 2021 |
| Comparative evaluation of machine learning models versus TIMI score in ST-segment-elevation myocardial infarction patients MD Gupta, D Goyal, S Kunal, MK Shetty, G MP, V Batra, A BANSAL, ... medRxiv, 2024.05. 16.24307511, 2024 | | 2024 |
| Explainable AI Model as a Complementary Tool to Randomized Controlled Trials (RCTs): A Comprehensive Assessment using Historical COVID Data M Shetty, A Mozumdar, S Gupta, L Gupta, K Chaudhary, V Roy, S Kumar, ... Authorea Preprints, 2023 | | 2023 |
| Risk Stratification of COVID-19 Patients based on Proposed Simple Clinical Parameters Score: A Retrospective Observational Study KJ Niket Rai , Satish Chandel , Manu Kumar Shetty , Geeta Katheit Rai ... Journal of Clinical and Diagnostic Research 17 (7), 14-17, 2023 | | 2023 |
Anubha GuptaIIIT-Delhi在 iiitd.ac.in 的电子邮件经过验证
