Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Parag Vijayvergia"'
Autor:
Maya Gopalakrishnan, Satyendra Khichar, Suman Saurabh, Parag Vijayvergia, Karthikeyan Thangaraju, Swapnil Tripathi, Harshavardhan V. Devarakonda, Akhilesh Kumar, Pranav S. Kumar, Mahendra Kumar Garg
Publikováno v:
Monaldi Archives for Chest Disease (2022)
Awake self-proning is being used widely as respiratory support in COVID-19 hypoxemia, in resource limited settings. We aimed to investigate the effectiveness of early awake self-proning in preventing mortality and need for intubation in adults with m
Externí odkaz:
https://doaj.org/article/aed755563c6840a59a449453fd643cf4
Autor:
Neeraja Vijayan, Parag Vijayvergia, Gopal Krishna Bohra, Mahendra Kumar Garg, Maya Gopalakrishnan
Publikováno v:
Clinical Rheumatology. 41:3543-3549
Epidemiology, clinical presentation, and outcomes for digital gangrene in connective tissue disorders (CTD) remain underreported from tropical countries like India. In this series, we aimed to explore the clinical profile and outcomes of patients who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61be00ca2308ed387b7647a97ddcb8dc
https://doi.org/10.1007/s10067-022-06265-1
https://doi.org/10.1007/s10067-022-06265-1
Autor:
Parag Vijayvergia, Neeraja Vijayan, Maya Gopalakrishnan, Sarbesh Tiwari, Mahendra Kumar Garg, Deepak Kumar, Naresh Midha
Publikováno v:
Infectious Disorders - Drug Targets. 21
Early recognition of iliopsoas abscess is important for limiting morbidity and mortality. Mycobacterium tuberculosis remains an important cause of iliopsoas abscess in developing countries and most patients are initiated on empirical anti-tubercular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbf1ab5d5739555be7cbe046ac0bef1f
https://doi.org/10.2174/1871526520999201103192948
https://doi.org/10.2174/1871526520999201103192948
Publikováno v:
BigDataService
Predicting stock market prices has been a topic of interest among both analysts and researchers for a long time. Stock prices are hard to predict because of their high volatile nature which depends on diverse political and economic factors, change of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e32c32e2d4a32c4ec4603ec91ef79b2
https://doi.org/10.1109/bigdataservice.2019.00035
https://doi.org/10.1109/bigdataservice.2019.00035