[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 …
Multimodal machine learning in precision health: A sco** review
Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …
sector including utilization for clinical decision-support. Its use has historically been focused …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
[HTML][HTML] Comparing different supervised machine learning algorithms for disease prediction
Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …
field. Disease prediction using health data has recently shown a potential application area …
[HTML][HTML] Renewable energy management in smart grids by using big data analytics and machine learning
The application of big data in the energy sector is considered as one of the main elements of
Energy Internet. Crucial and promising challenges exist especially with the integration of …
Energy Internet. Crucial and promising challenges exist especially with the integration of …
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver
impressive performance in many clinical tasks. Large training cohorts, however, are often …
impressive performance in many clinical tasks. Large training cohorts, however, are often …
A survey on IoT security: application areas, security threats, and solution architectures
The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects
can be empowered to create, receive, and exchange data in a seamless manner. Various …
can be empowered to create, receive, and exchange data in a seamless manner. Various …
Artificial intelligence for mental health and mental illnesses: an overview
Abstract Purpose of Review Artificial intelligence (AI) technology holds both great promise to
transform mental healthcare and potential pitfalls. This article provides an overview of AI and …
transform mental healthcare and potential pitfalls. This article provides an overview of AI and …
[HTML][HTML] Role of artificial intelligence in patient safety outcomes: systematic literature review
Background: Artificial intelligence (AI) provides opportunities to identify the health risks of
patients and thus influence patient safety outcomes. Objective: The purpose of this …
patients and thus influence patient safety outcomes. Objective: The purpose of this …
A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges
Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …
intelligence, have been employed to examine health-related data. Medical professionals are …