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Mallak Ahmad AlZubi

Biographic Data

ID9996998
NAMEMallak Ahmad AlZubi
GIVEN NAMESMallak Ahmad
FAMILY NAMEAlZubi
SIGNATUREALZUBI M A
AFFILIATIONSJordan University of Science and Technology
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • A deep transfer learning approach for Covid-19 detection and exploring a sense of belonging with Diabetes

    Open Access•Ijaz Ahmad, Arcangelo Merla et al.•ARTICLE•Frontiers in Public Health•2023

    COVID-19 is an epidemic disease that results in death and significantly affects the older adult and those afflicted with chronic medical conditions. Diabetes medication and high blood glucose levels are significant predictors of COVID-19-related death or disease severity. Diabetic individuals, particularly those with preexisting comorbidities or geriatric patients, are at a higher risk of COVID-19 infection, including hospitalization, ICU admissi…

  • Public mental health through social media in the post Covid-19 era

    Open Access•Deepika Sharma, Jaiteg Singh et al.•ARTICLE•Frontiers in Public Health•2023

    Social media is a powerful communication tool and a reflection of our digital environment. Social media acted as an augmenter and influencer during and after COVID-19. Many of the people sharing social media posts were not actually aware of their mental health status. This situation warrants to automate the detection of mental disorders. This paper presents a methodology for the detection of mental disorders using micro facial expressions. Micro-…

No prominent works on this page.

  • A deep transfer learning approach for Covid-19 detection and exploring a sense of belonging with Diabetes

    Open Access•Ijaz Ahmad, Arcangelo Merla et al.•ARTICLE•Frontiers in Public Health•2023

    COVID-19 is an epidemic disease that results in death and significantly affects the older adult and those afflicted with chronic medical conditions. Diabetes medication and high blood glucose levels are significant predictors of COVID-19-related death or disease severity. Diabetic individuals, particularly those with preexisting comorbidities or geriatric patients, are at a higher risk of COVID-19 infection, including hospitalization, ICU admissi…

  • Public mental health through social media in the post Covid-19 era

    Open Access•Deepika Sharma, Jaiteg Singh et al.•ARTICLE•Frontiers in Public Health•2023

    Social media is a powerful communication tool and a reflection of our digital environment. Social media acted as an augmenter and influencer during and after COVID-19. Many of the people sharing social media posts were not actually aware of their mental health status. This situation warrants to automate the detection of mental disorders. This paper presents a methodology for the detection of mental disorders using micro facial expressions. Micro-…

Artificial Intelligence (2 works) · Computer Science (2 works) · Medicine (2 works) · 2019-20 coronavirus outbreak (1 work) · Convolutional neural network (1 work) · COVID-19 Clinical Research Studies (1 work) · COVID-19 diagnosis using AI (1 work) · Data science (1 work) · Deep learning (1 work) · Diabetes mellitus (1 work)

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