scholarly journals Protecting genomic data analytics in the cloud: state of the art and opportunities

2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Haixu Tang ◽  
Xiaoqian Jiang ◽  
Xiaofeng Wang ◽  
Shuang Wang ◽  
Heidi Sofia ◽  
...  
Keyword(s):  
Data Analytics ◽  
State Of The Art ◽  
Genomic Data

Accelerating Genomic Data Analytics with Composable Hardware Acceleration Framework

IEEE Micro ◽  
2021 ◽  
pp. 1-1
Author(s):  
Tae Jun Ham ◽  
David Bruns-Smith ◽  
Brendan Sweeney ◽  
Yejin Lee ◽  
Seong Hoon Seo ◽  
...  
Keyword(s):  
Data Analytics ◽  
Genomic Data ◽  
Hardware Acceleration

scholarly journals Review of single clustering methods

2019 ◽  
Vol 8 (3) ◽  
pp. 221
Author(s):  
Nurshazwani Muhamad Mahfuz ◽  
Marina Yusoff ◽  
Zakiah Ahmad
Keyword(s):  
Data Analytics ◽  
Review Paper ◽  
State Of The Art ◽  
Learning Method ◽  
Clustering Methods ◽  
Optimal Result ◽  
Clustering Method ◽  
Noise Data ◽  
Research Findings ◽  
Real World Problems

<div style="’text-align: justify;">Clustering provides a prime important role as an unsupervised learning method in data analytics to assist many real-world problems such as image segmentation, object recognition or information retrieval. It is often an issue of difficulty for traditional clustering technique due to non-optimal result exist because of the presence of outliers and noise data.  This review paper provides a review of single clustering methods that were applied in various domains.  The aim is to see the potential suitable applications and aspect of improvement of the methods. Three categories of single clustering methods were suggested, and it would be beneficial to the researcher to see the clustering aspects as well as to determine the requirement for clustering method for an employment based on the state of the art of the previous research findings.</div>

Genomic Data and Big Data Analytics

2021 ◽  
pp. 187-201
Author(s):  
Hiren Kumar Deva Sarma
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Genomic Data

Privacy-Preserving in Big Data Analytics: State of the Art

2020 ◽  
Author(s):  
Hidayath Ali Baig ◽  
Dr. Yogesh Kumar Sharma ◽  
Syed Zakir Ali
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
State Of The Art ◽  
Big Data Analytics ◽  
Privacy Preserving

Understanding the role of digital platforms in technology readiness

2021 ◽  
Author(s):  
John Halamka ◽  
Paul Cerrato
Keyword(s):  
Data Analytics ◽  
State Of The Art ◽  
Digital Tools ◽  
Technology Readiness ◽  
Comprehensive Strategy ◽  
Health Records ◽  
Digital Platforms ◽  
Remote Diagnostics ◽  
Management Platform

State-of-the-art digital tools that take advantage of machine learning-derived algorithms and advanced data analytics have the potential to transform regenerative medicine by enabling investigators and clinicians to extract intelligence and actionable insights from published studies, electronic health records, pathology images and a variety of other sources. Used in isolation, however, these tools are not as effective as they can be integrated into a comprehensive strategy – a platform. We discuss the value of a platform strategy by summarizing several initiatives that have been launched at Mayo Clinic, including a clinical data analytics platform, a remote diagnostics and management platform and a virtual care system.

scholarly journals Industry 4.0 Applications for Medical/Healthcare Services

2021 ◽  
Vol 10 (3) ◽  
pp. 43
Author(s):  
Shuva Paul ◽  
Muhtasim Riffat ◽  
Abrar Yasir ◽  
Mir Nusrat Mahim ◽  
Bushra Yasmin Sharnali ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Data Analytics ◽  
Industrial Revolution ◽  
State Of The Art ◽  
Big Data Analytics ◽  
Healthcare Services ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Start Ups ◽  
Medical Healthcare

At present, the whole world is transitioning to the fourth industrial revolution, or Industry 4.0, representing the transition to digital, fully automated environments, and cyber-physical systems. Industry 4.0 comprises many different technologies and innovations, which are being implemented in many different sectors. In this review, we focus on the healthcare or medical domain, where healthcare is being revolutionized. The whole ecosystem is moving towards Healthcare 4.0, through the application of Industry 4.0 methodologies. Many technical and innovative approaches have had an impact on moving the sector towards the 4.0 paradigm. We focus on such technologies, including Internet of Things, Big Data Analytics, blockchain, Cloud Computing, and Artificial Intelligence, implemented in Healthcare 4.0. In this review, we analyze and identify how their applications function, the currently available state-of-the-art technologies, solutions to current challenges, and innovative start-ups that have impacted healthcare, with regards to the Industry 4.0 paradigm.

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