Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Shaban‐Nejad, Arash"'
Background: The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive understanding of algorithmic bias, systematic er
Externí odkaz:
http://arxiv.org/abs/2408.13295
Publikováno v:
Cancer Innovation 2024;3:e136
With the advances in artificial intelligence (AI), data-driven algorithms are becoming increasingly popular in the medical domain. However, due to the nonlinear and complex behavior of many of these algorithms, decision-making by such algorithms is n
Externí odkaz:
http://arxiv.org/abs/2407.12058
Autor:
Kumsa, Fekede Asefa, Fowke, Jay H., Hashtarkhani, Soheil, White, Brianna M., Shrubsole, Martha J., Shaban-Nejad, Arash
Publikováno v:
Front Oncol Frontiers in Oncology, 2024 Apr 9:14:1343070
Prostate cancer is one of the leading causes of cancer-related mortality among men in the U.S. We examined the role of neighborhood obesogenic attributes on prostate cancer risk and mortality in the Southern Community Cohort Study (SCCS). From 34,166
Externí odkaz:
http://arxiv.org/abs/2405.18456
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 5, p e21347 (2021)
BackgroundPatient monitoring is vital in all stages of care. In particular, intensive care unit (ICU) patient monitoring has the potential to reduce complications and morbidity, and to increase the quality of care by enabling hospitals to deliver hig
Externí odkaz:
https://doaj.org/article/c99ac9f018b34e73966426cb3a82f94e
Publikováno v:
JMIR Formative Research, Vol 5, Iss 3, p e24738 (2021)
BackgroundTraditionally, digital health data management has been based on electronic health record (EHR) systems and has been handled primarily by centralized health providers. New mechanisms are needed to give patients more control over their digita
Externí odkaz:
https://doaj.org/article/89e01be3be614ff1802ab212990003db
Autor:
Ammar, Nariman, Shaban-Nejad, Arash
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 11, p e18752 (2020)
BackgroundThe study of adverse childhood experiences and their consequences has emerged over the past 20 years. Although the conclusions from these studies are available, the same is not true of the data. Accordingly, it is a complex problem to build
Externí odkaz:
https://doaj.org/article/dc94cd72b25f4eb09fb4156c6d0b5f6d
Publikováno v:
JMIR Form Res JMIR Formative Research. 2024 Feb 21:8:e51727
Access to health care services is a critical determinant of population health and well-being. Measuring spatial accessibility to health services is essential for understanding health care distribution and addressing potential inequities. In this stud
Externí odkaz:
http://arxiv.org/abs/2403.05575