Concurrence of big data analytics and healthcare: A systematic review

N Mehta, A Pandit - International journal of medical informatics, 2018 - Elsevier
Abstract Background The application of Big Data analytics in healthcare has immense
potential for improving the quality of care, reducing waste and error, and reducing the cost of …

[HTML][HTML] A systematic review of healthcare big data

R Raja, I Mukherjee, BK Sarkar - Scientific programming, 2020 - hindawi.com
Over the past decade, data recorded (due to digitization) in healthcare sectors have
continued to increase, intriguing the thought about big data in healthcare. There already …

Complex predictive analysis for health care: a comprehensive review

D Srivastava, H Pandey, AK Agarwal - Bulletin of Electrical Engineering …, 2023 - beei.org
Healthcare organizations accept information technology in a management system. A huge
volume of data is gathered by healthcare system. Analytics offers tools and approaches for …

[HTML][HTML] Secondary use of clinical data in data-gathering, non-interventional research or learning activities: definition, types, and a framework for risk assessment

M Jungkunz, A Köngeter, K Mehlis, EC Winkler… - Journal of Medical …, 2021 - jmir.org
Background The secondary use of clinical data in data-gathering, non-interventional
research or learning activities (SeConts) has great potential for scientific progress and …

[HTML][HTML] Privacy and utility of private synthetic data for medical data analyses

A Appenzeller, M Leitner, P Philipp, E Krempel… - Applied Sciences, 2022 - mdpi.com
The increasing availability and use of sensitive personal data raises a set of issues
regarding the privacy of the individuals behind the data. These concerns become even more …

[HTML][HTML] Large-scale real-world data analysis identifies comorbidity patterns in schizophrenia

C Lu, D Jin, N Palmer, K Fox, IS Kohane… - Translational …, 2022 - nature.com
Abstract Schizophrenia affects> 3.2 million people in the USA. However, its comorbidity
patterns have not been systematically characterized in real-world populations. To address …

[PDF][PDF] Indigenous peoples, data, and the coloniality of surveillance

D Cormack, T Kukutai - New perspectives in critical data studies …, 2022 - library.oapen.org
We tend to associate practices of population surveillance with Western modernity and the
intensification of security routines with the last decade defined by the “Global War on Terror” …

[HTML][HTML] A method for interoperable knowledge-based data quality assessment

E Tute, I Scheffner, M Marschollek - BMC medical informatics and decision …, 2021 - Springer
Background Assessing the quality of healthcare data is a complex task including the
selection of suitable measurement methods (MM) and adequately assessing their results …

[HTML][HTML] How can big data analytics support people-centred and integrated health services: A scoping review

T Schulte, S Bohnet-Joschko - International Journal of Integrated …, 2022 - ncbi.nlm.nih.gov
Methods: A scoping review following the recommendations of the Preferred Reporting Items
for Systematic Reviews and Meta-Analyses–Scoping Review (PRISMA-ScR) statement was …

[HTML][HTML] Regulating the secondary use of data for research: arguments against genetic exceptionalism

A Martani, LD Geneviève, C Pauli-Magnus… - Frontiers in …, 2019 - frontiersin.org
As accessing, collecting, and storing personal information become increasingly easier, the
secondary use of data has the potential to make healthcare research more cost and time …