Metaverse for healthcare: a survey on potential applications, challenges and future directions
The rapid progress in digitalization and automation have led to an accelerated growth in
healthcare, generating novel models that are creating new channels for rendering treatment …
healthcare, generating novel models that are creating new channels for rendering treatment …
Blockchain for healthcare data management: opportunities, challenges, and future recommendations
Today's healthcare data management systems are facing key challenges in terms of data
transparency, traceability, immutability, audit, data provenance, flexible access, trust …
transparency, traceability, immutability, audit, data provenance, flexible access, trust …
[HTML][HTML] Sensors and healthcare 5.0: transformative shift in virtual care through emerging digital health technologies
E Mbunge, B Muchemwa, J Batani - Global Health Journal, 2021 - Elsevier
Emerging digital technologies continues to evolve posing unprecedented opportunities in
health systems globally to improve healthcare services delivery. There has been significant …
health systems globally to improve healthcare services delivery. There has been significant …
Smart healthcare in smart cities: wireless patient monitoring system using IoT
Recently, the development of building a smart city has been inclined rapidly with the help of
emerging technologies in 5G and internet of things (IoT). In addition with smart city, concepts …
emerging technologies in 5G and internet of things (IoT). In addition with smart city, concepts …
[HTML][HTML] Twitter sentiment analysis towards covid-19 vaccines in the Philippines using naïve bayes
A year into the COVID-19 pandemic and one of the longest recorded lockdowns in the world,
the Philippines received its first delivery of COVID-19 vaccines on 1 March 2021 through …
the Philippines received its first delivery of COVID-19 vaccines on 1 March 2021 through …
Machine learning based diabetes classification and prediction for healthcare applications
The remarkable advancements in biotechnology and public healthcare infrastructures have
led to a momentous production of critical and sensitive healthcare data. By applying …
led to a momentous production of critical and sensitive healthcare data. By applying …
[HTML][HTML] Significance of sensors for industry 4.0: Roles, capabilities, and applications
Sensors play a crucial role in factory automation in making the system intellectual. Different
types of sensors are available as per the suitability and applications; some of them are …
types of sensors are available as per the suitability and applications; some of them are …
[HTML][HTML] A comparative analysis of machine learning techniques for cyberbullying detection on twitter
The advent of social media, particularly Twitter, raises many issues due to a
misunderstanding regarding the concept of freedom of speech. One of these issues is …
misunderstanding regarding the concept of freedom of speech. One of these issues is …
[Retracted] A Novel Text Mining Approach for Mental Health Prediction Using Bi‐LSTM and BERT Model
With the current advancement in the Internet, there has been a growing demand for building
intelligent and smart systems that can efficiently address the detection of health‐related …
intelligent and smart systems that can efficiently address the detection of health‐related …
Community detection algorithms in healthcare applications: a systematic review
Over the past few years, the number and volume of data sources in healthcare databases
has grown exponentially. Analyzing these voluminous medical data is both opportunity and …
has grown exponentially. Analyzing these voluminous medical data is both opportunity and …