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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Mohit D. Gupta, Ankit Bansal, Prattay G. Sarkar, M.P. Girish, Manish Jha, Jamal Yusuf, Suresh Kumar, Satish Kumar, Ajeet Jain, Sanjeev Kathuria, Rajni Saijpaul, Anurag Mishra, Vikas Malhotra, Rakesh Yadav, S. Ramakrishanan, Rajeev K. Malhotra, Vishal Batra, Manu Kumar Shetty, Nandini Sharma, Saibal Mukhopadhyay, Sandeep Garg, Anubha Gupta
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Elsevier 2021-01-01
سلاسل:	Indian Heart Journal
الموضوعات:	Burnout Artificial intelligence Electrocardiogram Stress Covid-19
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S0019483220304119
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!