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Indian Heart Journal
|
January 1, 2019
Role of ApoE gene polymorphism and nonconventional biochemical risk factors among very young individuals (aged less than 35 years) presenting with acute myocardial infarction
Mohit D Gupta, M P Girish, Prattay G Sarkar, et al.
Asiaintervention
|
September 30, 2024
OCT-based comparative evaluation of culprit lesion morphology in very young versus older adult patients with STEMI
M P Girish, Mohit D Gupta, Akiko Maehara, et al.
Indian Heart Journal
|
December 28, 2020
Telomere length in young patients with acute myocardial infarction without conventional risk factors: A pilot study from a South Asian population
Mohit D Gupta, Manjula Miglani, Ankit Bansal, et al.
Indian Heart Journal
|
March 29, 2025
Comparative evaluation of machine learning models versus TIMI score in ST-segment-elevation myocardial infarction patients
Mohit D Gupta, Dixit Goyal, Shekhar Kunal, et al.
Journal of Clinical Lipidology
|
January 8, 2022
Guideline based eligibility for primary prevention statin therapy - Insights from the North India ST-elevation myocardial infarction registry (NORIN-STEMI)
Sameer Arora, Arman Qamar, Puneet Gupta, et al.
International Journal of Cardiology
|
May 16, 2022
Machine learning based model for risk prediction after ST-Elevation myocardial infarction: Insights from the North India ST elevation myocardial infarction (NORIN-STEMI) registry
Manu Kumar Shetty, Shekhar Kunal, M P Girish, et al.
Indian Heart Journal
|
March 14, 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
Mohit D Gupta, Ankit Bansal, Prattay G Sarkar, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 6, 2026
A Randomized Feasibility Trial of a Multicomponent Quality Improvement Strategy for Chronic Care of Cardiovascular Diseases: Findings from the C-QIP Trial in India
Kavita Singh, Ambuj Roy, Dimple Kondal, et al.
Indian Heart Journal
|
October 21, 2021
COVID 19-related burnout among healthcare workers in India and ECG based predictive machine learning model: Insights from the BRUCEE- Li study
Mohit D Gupta, Manish Kumar Jha, Ankit Bansal, et al.
Indian Heart Journal
|
November 30, 2019
Prevalence of hypertension among Indian adults: Results from the great India blood pressure survey
Sivasubramanian Ramakrishnan, Geevar Zachariah, Kartik Gupta, et al.
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Search research articles
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Showing results (41-50 of 50) with videos related to
Sort By:
Page
of 5
You have reached the last page of results.
This site can display upto 50 results.
Indian Heart Journal
|
January 1, 2019
Role of ApoE gene polymorphism and nonconventional biochemical risk factors among very young individuals (aged less than 35 years) presenting with acute myocardial infarction
Mohit D Gupta, M P Girish, Prattay G Sarkar, et al.
Asiaintervention
|
September 30, 2024
OCT-based comparative evaluation of culprit lesion morphology in very young versus older adult patients with STEMI
M P Girish, Mohit D Gupta, Akiko Maehara, et al.
Indian Heart Journal
|
December 28, 2020
Telomere length in young patients with acute myocardial infarction without conventional risk factors: A pilot study from a South Asian population
Mohit D Gupta, Manjula Miglani, Ankit Bansal, et al.
Indian Heart Journal
|
March 29, 2025
Comparative evaluation of machine learning models versus TIMI score in ST-segment-elevation myocardial infarction patients
Mohit D Gupta, Dixit Goyal, Shekhar Kunal, et al.
Journal of Clinical Lipidology
|
January 8, 2022
Guideline based eligibility for primary prevention statin therapy - Insights from the North India ST-elevation myocardial infarction registry (NORIN-STEMI)
Sameer Arora, Arman Qamar, Puneet Gupta, et al.
International Journal of Cardiology
|
May 16, 2022
Machine learning based model for risk prediction after ST-Elevation myocardial infarction: Insights from the North India ST elevation myocardial infarction (NORIN-STEMI) registry
Manu Kumar Shetty, Shekhar Kunal, M P Girish, et al.
Indian Heart Journal
|
March 14, 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
Mohit D Gupta, Ankit Bansal, Prattay G Sarkar, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 6, 2026
A Randomized Feasibility Trial of a Multicomponent Quality Improvement Strategy for Chronic Care of Cardiovascular Diseases: Findings from the C-QIP Trial in India
Kavita Singh, Ambuj Roy, Dimple Kondal, et al.
Indian Heart Journal
|
October 21, 2021
COVID 19-related burnout among healthcare workers in India and ECG based predictive machine learning model: Insights from the BRUCEE- Li study
Mohit D Gupta, Manish Kumar Jha, Ankit Bansal, et al.
Indian Heart Journal
|
November 30, 2019
Prevalence of hypertension among Indian adults: Results from the great India blood pressure survey
Sivasubramanian Ramakrishnan, Geevar Zachariah, Kartik Gupta, et al.
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