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

BACKGROUND: There is no large contemporary data from India to see the prevalence of burnout in HCWs in covid era. Burnout and mental stress is associated with electrocardiographic changes detectable by artificial intelligence (AI). OBJECTIVE: The present study aims to estimate the prevalence of burn...

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Vydáno v:Indian Heart J
Hlavní autoři: Gupta, Mohit D., Bansal, Ankit, Sarkar, Prattay G., Girish, M.P., Jha, Manish, Yusuf, Jamal, Kumar, Suresh, Kumar, Satish, Jain, Ajeet, Kathuria, Sanjeev, Saijpaul, Rajni, Mishra, Anurag, Malhotra, Vikas, Yadav, Rakesh, Ramakrishanan, S., Malhotra, Rajeev K., Batra, Vishal, Shetty, Manu Kumar, Sharma, Nandini, Mukhopadhyay, Saibal, Garg, Sandeep, Gupta, Anubha
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2021
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Original Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7683295/
https://ncbi.nlm.nih.gov/pubmed/33714394
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ihj.2020.11.145
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