Medical Big DataMedical big data is a combination of big data, machine learning, deep learning and other technologies and disciplines such as evidence-based medicine and imaging omics. It can provide solutions for scenarios such as health management and auxiliary diagnosis and treatment.
Peng-Ting Chen, Chia-Li Lin, Wan-Ning Wu
Int. J. Inf. Manag., (2020): 102078
The Analytic Network Process approach is applied to facilitate the modeling of the factors as a network of factors and alternatives categorized into clusters
Cited by0BibtexViews29Links
1
0
Smadar Shilo, Hagai Rossman,Eran Segal
Nature Medicine, no. 1 (2020): 29-38
Health data are increasingly being generated at a massive scale, at various levels of phenotyping and from different types of resources. Concurrent with recent technological advances in both data-generation infrastructure and data-analysis methodologies, there have been many clai...
Cited by0BibtexViews9Links
0
0
Bai Liu, Shuyan Guo, Bin Ding
International journal of environmental research and public health, no. 2 (2020): 516
Based on a sample of China’s listed firms in the medical industry from 2013 to 2018, this paper explores the exogenous shock effect of China’s big data medical policy
Cited by0BibtexViews10Links
0
0
W Nicholson Price,I Glenn Cohen
no. 1 (2019): 37-43
Discrimination based upon health data The use of patient-derived big data in medicine can lead to consequentialist privacy concerns
Cited by69BibtexViews9Links
0
0
Frontiers of Medicine in China, (2019)
In this review we summarize a number of the key challenges in using Big data analysis to facilitate precision medicine
Cited by1BibtexViews18
0
0
Healthcare Informatics Research, no. 1 (2019): 1
A lot of data are still created in many hospitals, it is hard to be connected with medical big data research and artificial intelligence industry in healthcare
Cited by0BibtexViews8
0
0
Tasnova Tabassum Chhowa,Md. Asadur Rahman, Anup Kumar Paul, Rasel Ahmmed
2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp.1-6, (2019)
This survey analysis deals with the methodologies that exist already, their developments, working procedure, limitation, application and future works that are relevant to deep learning, internet of things as well as data mining
Cited by0BibtexViews10Links
0
0
IEEE Access, (2019): 7397-7408
Recently, the massification of new technologies, which has been adopted by a large majority of the world population, has accumulated a tremendous amount of data, including clinical data. This clinical data have been gathered up and interpreted by medical organizations in order to...
Cited by0BibtexViews12Links
0
0
Rong Jiang, Mingyue Shi, Wei Zhou
IEEE Access, (2019): 143841-143854
Cited by0BibtexViews5Links
0
0
Dongjin Lee, Mijeong Park, Seungwon Chang, Haksoo Ko
no. 4 (2019): 239-247
We present comparative analyses of the legal and regulatory environments governing health and medical big data with a view to drawing policy implications for Korea
Cited by0BibtexViews7
0
0
Chao Yang, Guilan Kong, Liwei Wang,Luxia Zhang,Ming‐Hui Zhao
Nephrology, (2019)
This review explores the application of big data in nephrology to risk prediction, clinical decision making support and chronic kidney disease surveillance
Cited by0BibtexViews10
0
0
Anthony Vipin Das, Pragnya R Donthineni, Sai Prashanti,Sayan Basu
The ocular surface, (2019)
This study describes the demographics, clinical presentation and risk-factors of allergic eye disease in children and adolescents presenting to a multi-tier ophthalmology hospital network in India
Cited by0BibtexViews9Links
0
0
Joohyung Jeon, Junhui Kim,Joongheon Kim, Kwangsoo Kim,Aziz Mohaisen,Jong-Kook Kim
DSN, pp.3-4, (2019)
Based on the given deep neural network, the hidden layers are separated and the first layer is left in each platform where the other layers are in a centralized server
Cited by0BibtexViews6Links
0
0
Amke Caliebe, Friedhelm Leverkus, Gerd Antes,Michael Krawczak
BMC Medical Research Methodology, no. 1 (2019): 1-5
Regardless of the legitimacy of the latter assertions, it is indisputable that big data has pushed the boundaries in terms of data quality, analysis, manageability and interpretability as well
Cited by0BibtexViews8Links
0
0
Huchang Liao, Ming Tang, Li Luo, Chunyang Li,Francisco Chiclana,Xiao-Jun Zeng
Sustainability, no. 1 (2018): 166
With the rapid development of “Internet plus”, medical care has entered the era of big data. However, there is little research on medical big data (MBD) from the perspectives of bibliometrics and visualization. The substantive research on the basic aspects of MBD itself is also r...
Cited by94BibtexViews5
0
0
Journal of integrative bioinformatics, (2018)
This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthcare covers integration and analysis of la...
Cited by58BibtexViews7Links
0
0
Inf. Sci., (2018): 124-149
This paper presented a disease diagnosis and treatment recommendation system to recommend medical treatments based on the given inspection reports of patients
Cited by41BibtexViews13Links
0
0
Future Generation Comp. Syst., (2018): 1437-1455
We have investigated the privacy-preserving fusion of IoT and big data in the e-health application scenario, and constructed a system to realize secure IoT communication and confidential medical big data storage
Cited by40BibtexViews7Links
0
0
Keywords
Big DataData MiningBig Data AnalyticsHealthcareMedical InformaticsBiomedical ImagingCloud ComputingDiseasesEpidemiologyGenomics
Authors
Nabil Zary
Paper 2
Atif Alamri
Paper 2
Sayan Basu
Paper 1
Amke Caliebe
Paper 1
Yujun Ma
Paper 1
Marcus Hacker
Paper 1
Nesrine Zoghlami
Paper 1
Xianghan Zheng
Paper 1
Da Qiu
Paper 1