Leveraging data science to combat COVID-19: A comprehensive review

S Latif, M Usman, S Manzoor, W Iqbal… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a
pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020 …

Speech technology for healthcare: Opportunities, challenges, and state of the art

S Latif, J Qadir, A Qayyum, M Usama… - IEEE Reviews in …, 2020 - ieeexplore.ieee.org
Speech technology is not appropriately explored even though modern advances in speech
technology—especially those driven by deep learning (DL) technology—offer …

[HTML][HTML] How 5G wireless (and concomitant technologies) will revolutionize healthcare?

S Latif, J Qadir, S Farooq, MA Imran - Future Internet, 2017 - mdpi.com
The need to have equitable access to quality healthcare is enshrined in the United Nations
(UN) Sustainable Development Goals (SDGs), which defines the developmental agenda of …

[HTML][HTML] The evolving roles and impacts of 5G enabled technologies in healthcare: The world epidemic COVID-19 issues

MM Rahman, F Khatun, SI Sami, A Uzzaman - Array, 2022 - Elsevier
The latest 5G technology is being introduced the Internet of Things (IoT) Era. The study aims
to focus the 5G technology and the current healthcare challenges as well as to highlight 5G …

[HTML][HTML] Application of 5G network combined with AI robots in personalized nursing in China: A literature review

C Guo, H Li - Frontiers in Public Health, 2022 - frontiersin.org
The medical and healthcare industry is currently developing into digitization. Attributed to the
rapid development of advanced technologies such as the 5G network, cloud computing …

[HTML][HTML] Digital health technologies for long-term self-management of osteoporosis: systematic review and meta-analysis

G Alhussein, L Hadjileontiadis - JMIR mHealth and uHealth, 2022 - mhealth.jmir.org
Background: Osteoporosis is the fourth most common chronic disease worldwide. The
adoption of preventative measures and effective self-management interventions can help …

Unsupervised adversarial domain adaptation for cross-lingual speech emotion recognition

S Latif, J Qadir, M Bilal - 2019 8th international conference on …, 2019 - ieeexplore.ieee.org
Cross-lingual speech emotion recognition (SER) is a crucial task for many real-world
applications. The performance of SER systems is often degraded by the differences in the …

[HTML][HTML] New approach in SARS-CoV-2 surveillance using biosensor technology: a review

DM El-Sherif, M Abouzid, MS Gaballah… - … Science and Pollution …, 2022 - Springer
Biosensors are analytical tools that transform the bio-signal into an observable response.
Biosensors are effective for early detection of severe acute respiratory syndrome …

Mobile health interventions in developing countries: a systematic review

MR Hoque, MS Rahman, NJ Nipa… - Health Informatics …, 2020 - journals.sagepub.com
This study reviews the quality of evidence reported in mobile health intervention literature in
the context of developing countries. A systematic search of renowned databases was …

[HTML][HTML] Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments

M Azam, S Bin Naeem, MN Kamel Boulos… - International Journal of …, 2023 - mdpi.com
This study was conducted with objectives to measure and validate the unified theory of the
acceptance and use of technology (UTAUT) model as well as to identify the predictors of …