Internet of Things Enabled Disease Outbreak Detection: A Predictive Modeling System.
E Khodadadi, SK Towfek - … of Intelligent Systems & Internet of …, 2023 - search.ebscohost.com
Advancements in data analytics and the proliferation of the Internet of Things (IoT) have
opened new frontiers in disease surveillance and early outbreak detection. In this paper, we …
opened new frontiers in disease surveillance and early outbreak detection. In this paper, we …
Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
SJ Fritsch, A Blankenheim, A Wahl, P Hetfeld… - Digital …, 2022 - journals.sagepub.com
Objective The attitudes about the usage of artificial intelligence in healthcare are
controversial. Unlike the perception of healthcare professionals, the attitudes of patients and …
controversial. Unlike the perception of healthcare professionals, the attitudes of patients and …
On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments
A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
IoT-enabled technologies for controlling COVID-19 Spread: A scientometric analysis using CiteSpace
The COVID-19 outbreak has unleashed a cataclysmic impact on the daily existence of
humanity, triggering a widespread upheaval in public health and wreaking havoc on the …
humanity, triggering a widespread upheaval in public health and wreaking havoc on the …
[HTML][HTML] A sco** review of deep learning in cancer nursing combined with augmented reality: The era of intelligent nursing is coming
Y Ren, Y Yang, J Chen, Y Zhou, J Li, R ** greatly in the field of medicine. As a new research
hotspot of artificial intelligence, deep learning (DL) has been widely applied in the fields of …
hotspot of artificial intelligence, deep learning (DL) has been widely applied in the fields of …
Optimizing Healthcare Outcomes through Data-Driven Predictive Modeling
This study investigates the transformative potential of big data analytics in healthcare,
focusing on its application for forecasting patient outcomes and enhancing clinical decision …
focusing on its application for forecasting patient outcomes and enhancing clinical decision …
An optimized model based on deep learning and gated recurrent unit for COVID-19 death prediction
The COVID-19 epidemic poses a worldwide threat that transcends provincial, philosophical,
spiritual, radical, social, and educational borders. By using a connected network, a …
spiritual, radical, social, and educational borders. By using a connected network, a …
Trust in electronic record management system: insights from Islamic-based professional and moral engagement-based digital archive
This paper aims to examine the strategic attempt on empowering the trust system in
recordkee** management. The further assessment was conducted in looking into detail …
recordkee** management. The further assessment was conducted in looking into detail …
5-chloro-3-(2-(2, 4-dinitrophenyl) hydrazono) indolin-2-one: synthesis, characterization, biochemical and computational screening against SARS-CoV-2
F Majoumo-Mbe, NA Sangbong, A Tadjong Tcho… - Chemical Papers, 2024 - Springer
Chemical prototypes with broad-spectrum antiviral activity are important toward develo**
new therapies that can act on both existing and emerging viruses. Binding of the SARS-CoV …
new therapies that can act on both existing and emerging viruses. Binding of the SARS-CoV …
Map** scientific knowledge discovery on COVID-19 pandemic and agriculture: a bibliometric analysis and future research directions
J Ali - Environmental Science and Pollution Research, 2023 - Springer
This paper aims at analyzing the research productivity and scientific knowledge discovery of
the COVID-19 pandemic in agriculture using a bibliometric analysis approach. A total of …
the COVID-19 pandemic in agriculture using a bibliometric analysis approach. A total of …