Shabbir Syed-Abdul
Biographic Data
| ID | 4266668 |
|---|---|
| NAME | Shabbir Syed-Abdul |
| GIVEN NAMES | Shabbir |
| FAMILY NAME | Syed-Abdul |
| SIGNATURE | SYED-ABDUL S |
| AFFILIATIONS | Taipei Medical University |
| ORCID | 0000-0002-0412-767X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Accelerating digital health literacy for the treatment of growth disorders
Background Growth hormone deficiency (GHD) is a rare disorder characterized by inadequate secretion of growth hormone (GH) from the anterior pituitary gland. One of the challenges in optimizing GH therapy is improving adherence. Using digital interventions may overcome barriers to optimum treatment delivery. Massive open online courses (MOOCs), first introduced in 2008, are courses made available over the internet without charge to a large number…
How #TaiwanCanHelp Reverberates
Taiwan's unique circumstance as a contested state makes it imperative for the country to increase international support for and awareness of its embattled democracy at the hands of the authoritarian government in Beijing through positive public visibility. #TaiwanCanHelp, while perhaps similar to other forms of hashtag activism, is also very different because it also encompasses digitalization of diplomacy, in which the Taiwanese government seeks…
Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients
Survival prediction is highly valued in end-of-life care clinical practice, and patient performance status evaluation stands as a predominant component in survival prognostication. While current performance status evaluation tools are limited to their subjective nature, the advent of wearable technology enables continual recordings of patients' activity and has the potential to measure performance status objectively. We hypothesize that wristband…
No prominent works on this page.
Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients
Survival prediction is highly valued in end-of-life care clinical practice, and patient performance status evaluation stands as a predominant component in survival prognostication. While current performance status evaluation tools are limited to their subjective nature, the advent of wearable technology enables continual recordings of patients' activity and has the potential to measure performance status objectively. We hypothesize that wristband…
How #TaiwanCanHelp Reverberates
Taiwan's unique circumstance as a contested state makes it imperative for the country to increase international support for and awareness of its embattled democracy at the hands of the authoritarian government in Beijing through positive public visibility. #TaiwanCanHelp, while perhaps similar to other forms of hashtag activism, is also very different because it also encompasses digitalization of diplomacy, in which the Taiwanese government seeks…
Accelerating digital health literacy for the treatment of growth disorders
Background Growth hormone deficiency (GHD) is a rare disorder characterized by inadequate secretion of growth hormone (GH) from the anterior pituitary gland. One of the challenges in optimizing GH therapy is improving adherence. Using digital interventions may overcome barriers to optimum treatment delivery. Massive open online courses (MOOCs), first introduced in 2008, are courses made available over the internet without charge to a large number…
Computer Science (3 works) · Medicine (2 works) · Psychology (2 works) · Actigraphy (1 work) · Beijing (1 work) · Business (1 work) · Cancer survivorship and care (1 work) · China (1 work) · Data science (1 work) · Diplomacy (1 work)