Using machine learning approaches for multi-omics data analysis: A review

PS Reel, S Reel, E Pearson, E Trucco… - Biotechnology advances, 2021 - Elsevier
With the development of modern high-throughput omic measurement platforms, it has
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

AG Sreedevi, TN Harshitha, V Sugumaran… - Information Processing & …, 2022 - Elsevier
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 …

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 …

Medical big data: promise and challenges

CH Lee, HJ Yoon - Kidney research and clinical practice, 2017 - pmc.ncbi.nlm.nih.gov
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 …

[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 …

Precision medicine and radiogenomics in breast cancer: new approaches toward diagnosis and treatment

K Pinker, J Chin, AN Melsaether, EA Morris, L Moy - Radiology, 2018 - pubs.rsna.org
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 …

Improving security of medical big data by using Blockchain technology

P Sharma, MD Borah, S Namasudra - Computers & Electrical Engineering, 2021 - Elsevier
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 …

[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 …

Fog data: Enhancing telehealth big data through fog computing

H Dubey, J Yang, N Constant, AM Amiri… - Proceedings of the ASE …, 2015 - dl.acm.org
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 …

A comprehensive analysis of healthcare big data management, analytics and scientific programming

S Nazir, S Khan, HU Khan, S Ali… - IEEE …, 2020 - ieeexplore.ieee.org
Healthcare systems are transformed digitally with the help of medical technology,
information systems, electronic medical records, wearable and smart devices, and handheld …