Mallak Ahmad AlZubi
Biographic Data
| ID | 9996998 |
|---|---|
| NAME | Mallak Ahmad AlZubi |
| GIVEN NAMES | Mallak Ahmad |
| FAMILY NAME | AlZubi |
| SIGNATURE | ALZUBI M A |
| AFFILIATIONS | Jordan University of Science and Technology |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
A deep transfer learning approach for Covid-19 detection and exploring a sense of belonging with Diabetes
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
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
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
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)