| HIT-COVID, a global database tracking public health interventions to COVID-19 Q Zheng, FK Jones, SV Leavitt, L Ung, AB Labrique, DH Peters, EC Lee, ... Scientific data 7 (1), 286, 2020 | 107 | 2020 |
| A machine learning application for raising wash awareness in the times of covid-19 pandemic R Pandey, V Gautam, R Pal, H Bandhey, LS Dhingra, V Misra, H Sharma, ... Scientific Reports 12 (1), 810, 2022 | 70 | 2022 |
| Predicting hemodynamic shock from thermal images using machine learning A Nagori, LS Dhingra, A Bhatnagar, R Lodha, T Sethi Scientific reports 9 (1), 91, 2019 | 35 | 2019 |
| Detection of left ventricular systolic dysfunction from electrocardiographic images V Sangha, AA Nargesi, LS Dhingra, A Khunte, BJ Mortazavi, AH Ribeiro, ... Circulation 148 (9), 765-777, 2023 | 29 | 2023 |
| Use of wearable devices in individuals with or at risk for cardiovascular disease in the US, 2019 to 2020 LS Dhingra, A Aminorroaya, EK Oikonomou, AA Nargesi, FP Wilson, ... JAMA Network Open 6 (6), e2316634-e2316634, 2023 | 21 | 2023 |
| Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices A Khunte, V Sangha, EK Oikonomou, LS Dhingra, A Aminorroaya, ... npj Digital Medicine 6 (1), 124, 2023 | 12 | 2023 |
| National trends in racial and ethnic disparities in antihypertensive medication use and blood pressure control among adults with hypertension, 2011–2018 Y Lu, Y Liu, LS Dhingra, D Massey, C Caraballo, S Mahajan, ES Spatz, ... Hypertension 79 (1), 207-217, 2022 | 12 | 2022 |
| Cardiovascular care innovation through data-driven discoveries in the electronic health record LS Dhingra, M Shen, A Mangla, R Khera The American Journal of Cardiology 203, 136-148, 2023 | 8 | 2023 |
| Estimating the impact of health systems factors on antimicrobial resistance in priority pathogens R Awasthi, V Rakholia, S Agrawal, LS Dhingra, A Nagori, H Kaur, T Sethi Journal of Global Antimicrobial Resistance 30, 133-142, 2022 | 8 | 2022 |
| Use of smart devices to track cardiovascular health goals in the United States A Aminorroaya, LS Dhingra, AA Nargesi, EK Oikonomou, HM Krumholz, ... JACC: Advances 2 (7), 100544, 2023 | 6 | 2023 |
| Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM R Khera, LS Dhingra, A Aminorroaya, K Li, JJ Zhou, F Arshad, C Blacketer, ... BMJ medicine 2 (1), 2023 | 5 | 2023 |
| An evaluation of the vulnerable physician workforce in the USA during the Coronavirus Disease-19 pandemic R Khera, LS Dhingra, S Jain, HM Krumholz Journal of General Internal Medicine 35, 3114-3116, 2020 | 5 | 2020 |
| Identification of Hypertrophic Cardiomyopathy on Electrocardiographic Images with Deep Learning V Sangha, LS Dhingra, E Oikonomou, A Aminorroaya, NV Sikand, S Sen, ... medRxiv, 2023 | 2 | 2023 |
| Ocular complications of plasma cell dyscrasias RB Singh, S Singhal, S Sinha, J Cho, AXL Nguyen, LS Dhingra, S Kaur, ... European Journal of Ophthalmology 33 (5), 1786-1800, 2023 | 2 | 2023 |
| Use of wearable devices by patients with and at-risk for cardiovascular disease in the United States: a nationally representative study LS Dhingra, A Aminorroaya, E Oikonomou, A Aghajani Nargesi, R Khera Circulation 146 (Suppl_1), A15333-A15333, 2022 | 2 | 2022 |
| Patient experience of a neurology tele-follow-up program initiated during the Coronavirus Disease 2019 pandemic: A questionnaire-based study M Agarwal, A Arushi, LS Dhingra, LJ Patel, S Agrawal, P Srivastava, ... Telemedicine Reports 2 (1), 88-97, 2021 | 2 | 2021 |
| A Multicenter Evaluation of the Impact of Procedural and Pharmacological Interventions on Deep Learning-based Electrocardiographic Markers of Hypertrophic Cardiomyopathy LS Dhingra, V Sangha, A Aminorroaya, R Bryde, A Gaballa, AH Ali, ... medRxiv, 2024.01. 15.24301011, 2024 | 1 | 2024 |
| Automated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing AA Nargesi, P Adejumo, L Dhingra, B Rosand, A Hengartner, A Coppi, ... medRxiv, 2023 | 1 | 2023 |
| Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys Y Liu, J Herrin, C Huang, R Khera, LS Dhingra, W Dong, BJ Mortazavi, ... Journal of the American Medical Informatics Association 30 (5), 943-952, 2023 | 1 | 2023 |
| Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for wearable devices A Khunte, V Sangha, EK Oikonomou, LS Dhingra, A Aminorroaya, ... medRxiv, 2022.12. 03.22283065, 2022 | 1 | 2022 |
Rohan KheraYale UniversityVerified email at yale.edu
