The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …
primary goal of maintaining patient data via new information technologies, including the …
[HTML][HTML] A survey of recommendation systems: recommendation models, techniques, and application fields
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …
recommendation systems that are used in various service areas and the business aspects of …
[HTML][HTML] The use of Big Data Analytics in healthcare
Abstract The introduction of Big Data Analytics (BDA) in healthcare will allow to use new
technologies both in treatment of patients and health management. The paper aims at …
technologies both in treatment of patients and health management. The paper aims at …
Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review
Sudden spurting of Corona virus disease (COVID-19) has put the whole healthcare system
on high alert. Internet of Medical Things (IoMT) has eased the situation to a great extent, also …
on high alert. Internet of Medical Things (IoMT) has eased the situation to a great extent, also …
[HTML][HTML] Medical 4.0 technologies for healthcare: Features, capabilities, and applications
Abstract The Fourth Industrial Revolution may help many sectors and industries, whereas
healthcare will be significantly impacted. Medical advances will be swifter, better and more …
healthcare will be significantly impacted. Medical advances will be swifter, better and more …
[HTML][HTML] A review on innovation in healthcare sector (telehealth) through artificial intelligence
A Amjad, P Kordel, G Fernandes - Sustainability, 2023 - mdpi.com
Artificial intelligence (AI) has entered the mainstream as computing power has improved.
The healthcare industry is undergoing dramatic transformations at present. One of the most …
The healthcare industry is undergoing dramatic transformations at present. One of the most …
Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic
Abstract Background/objectives The Internet of Things (IoT) can create disruptive innovation
in healthcare. Thus, during COVID-19 Pandemic, there is a need to study different …
in healthcare. Thus, during COVID-19 Pandemic, there is a need to study different …
[HTML][HTML] RETRACTED ARTICLE: Integration of Healthcare 4.0 and blockchain into secure cloud-based electronic health records systems
HB Mahajan, AS Rashid, AA Junnarkar, N Uke… - Applied …, 2023 - Springer
Since the last decade, cloud-based electronic health records (EHRs) have gained significant
attention to enable remote patient monitoring. The recent development of Healthcare 4.0 …
attention to enable remote patient monitoring. The recent development of Healthcare 4.0 …
Artificial intelligence applications in supply chain management
M Pournader, H Ghaderi, A Hassanzadegan… - International Journal of …, 2021 - Elsevier
This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …
applications in supply chain management (SCM). Our systematic search of the related …
The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance
S Benzidia, N Makaoui, O Bentahar - Technological forecasting and social …, 2021 - Elsevier
Big data analytics and artificial intelligence (BDA-AI) technologies have attracted increasing
interest in recent years from academics and practitioners. However, few empirical studies …
interest in recent years from academics and practitioners. However, few empirical studies …