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Using machine learning approaches for multi-omics data analysis: A review
With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …
become essential for biomedical studies to undertake an integrative (combined) approach to …
Application of cognitive computing in healthcare, cybersecurity, big data and IoT: A literature review
Human Intelligence is considered superior compared to Artificial Intelligence (AI) because of
its ability to adapt faster to changes. Due to increasing data deluge, it is cumbersome for …
its ability to adapt faster to changes. Due to increasing data deluge, it is cumbersome for …
Brief introduction of medical database and data mining technology in big data era
J Yang, Y Li, Q Liu, L Li, A Feng, T Wang… - Journal of Evidence …, 2020 - Wiley Online Library
Data mining technology can search for potentially valuable knowledge from a large amount
of data, mainly divided into data preparation and data mining, and expression and analysis …
of data, mainly divided into data preparation and data mining, and expression and analysis …
Medical big data: promise and challenges
The concept of big data, commonly characterized by volume, variety, velocity, and veracity,
goes far beyond the data type and includes the aspects of data analysis, such as hypothesis …
goes far beyond the data type and includes the aspects of data analysis, such as hypothesis …
[HTML][HTML] IBM Watson: how cognitive computing can be applied to big data challenges in life sciences research
Y Chen, JDE Argentinis, G Weber - Clinical therapeutics, 2016 - Elsevier
Life sciences researchers are under pressure to innovate faster than ever. Big data offer the
promise of unlocking novel insights and accelerating breakthroughs. Ironically, although …
promise of unlocking novel insights and accelerating breakthroughs. Ironically, although …
Precision medicine and radiogenomics in breast cancer: new approaches toward diagnosis and treatment
Precision medicine is medicine optimized to the genotypic and phenotypic characteristics of
an individual and, when present, his or her disease. It has a host of targets, including genes …
an individual and, when present, his or her disease. It has a host of targets, including genes …
Improving security of medical big data by using Blockchain technology
Big data refers to a very large and diverse set of data that grow at exponential rates. In the
modern healthcare system, medical big data face many security issues due to the presence …
modern healthcare system, medical big data face many security issues due to the presence …
[PDF][PDF] Big data in healthcare management: a review of literature
SA Senthilkumar, BK Rai, AA Meshram… - American Journal of …, 2018 - academia.edu
A systematic literature review of papers on big data in healthcare published between 2010
and 2015 was conducted. This paper reviews the definition, process, and use of big data in …
and 2015 was conducted. This paper reviews the definition, process, and use of big data in …
Fog data: Enhancing telehealth big data through fog computing
The size of multi-modal, heterogeneous data collected through various sensors is growing
exponentially. It demands intelligent data reduction, data mining and analytics at edge …
exponentially. It demands intelligent data reduction, data mining and analytics at edge …
A comprehensive analysis of healthcare big data management, analytics and scientific programming
Healthcare systems are transformed digitally with the help of medical technology,
information systems, electronic medical records, wearable and smart devices, and handheld …
information systems, electronic medical records, wearable and smart devices, and handheld …