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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683295/
https://www.ncbi.nlm.nih.gov/pubmed/33714394
http://dx.doi.org/10.1016/j.ihj.2020.11.145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683295/
https://www.ncbi.nlm.nih.gov/pubmed/33714394
http://dx.doi.org/10.1016/j.ihj.2020.11.145

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