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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
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 |
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