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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Dettagli Bibliografici
Pubblicato in:Indian Heart J
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2021
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Original Article
Accesso online: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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