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Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities
Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
Big data application in biomedical research and health care: a literature review
Big data technologies are increasingly used for biomedical and health-care informatics
research. Large amounts of biological and clinical data have been generated and collected …
research. Large amounts of biological and clinical data have been generated and collected …
How research in production and operations management may evolve in the era of big data
We are living in an era in which data is generated in huge volume with high velocity and
variety. Big Data and technology are resha** our life and business. Our research …
variety. Big Data and technology are resha** our life and business. Our research …
Emergence of big data research in operations management, information systems, and healthcare: Past contributions and future roadmap
In this day, in the age of big data, consumers leave an easily traceable digital footprint
whenever they visit a website online. Firms are interested in capturing the digital footprints of …
whenever they visit a website online. Firms are interested in capturing the digital footprints of …
Industrial cyberphysical systems: Realizing cloud-based big data infrastructures
Future industrial systems and applications are expected to be complex constellations of
cyberphysical systems (CPSs) where intel l igent networked embedded devices play a …
cyberphysical systems (CPSs) where intel l igent networked embedded devices play a …
Big Data in multiscale modelling: from medical image processing to personalized models
The healthcare industry is different from other industries–patient data are sensitive, their
storage needs to be handled with care and in compliance with regulative, while prediction …
storage needs to be handled with care and in compliance with regulative, while prediction …
Machine learning models for multidimensional clinical data
Healthcare monitoring systems in the hospital and at home generate large quantities of rich-
phenotype data from a wide array of sources. Typical sources include clinical observations …
phenotype data from a wide array of sources. Typical sources include clinical observations …
Cloudwave: distributed processing of “Big Data” from electrophysiological recordings for epilepsy clinical research using Hadoop
Epilepsy is the most common serious neurological disorder affecting 50–60 million persons
worldwide. Multi-modal electrophysiological data, such as electroencephalography (EEG) …
worldwide. Multi-modal electrophysiological data, such as electroencephalography (EEG) …
A practice of TPC-DS multidimensional implementation on NoSQL database systems
H Zhao, X Ye - … and Benchmarking: 5th TPC Technology Conference …, 2014 - Springer
While NoSQL database systems are well established, it is not clear how to process
multidimensional OLAP queries on current key-value stores. In this paper, we detail how to …
multidimensional OLAP queries on current key-value stores. In this paper, we detail how to …
An overview of online based platforms for sharing and analyzing electrophysiology data from big data perspective
With the development of applications and high‐throughput sensor technologies in medical
fields, scientists and scientific professionals are facing a big challenge—how to manage and …
fields, scientists and scientific professionals are facing a big challenge—how to manage and …