A novel cloud enabled access control model for preserving the security and privacy of medical big data

A Alabdulatif, NN Thilakarathne, K Kalinaki - Electronics, 2023 - mdpi.com
In the context of healthcare, big data refers to a complex compilation of digital medical data
collected from many sources that are difficult to manage with normal technology and …

Big data and machine learning based secure healthcare framework

P Kaur, M Sharma, M Mittal - Procedia computer science, 2018 - Elsevier
The paper presents a brief introduction to big data and its role in healthcare applications. It is
observed that the use of big data architecture and techniques are continuously assisting in …

A case study for a big data and machine learning platform to improve medical decision support in population health management

F López-Martínez, ER Núñez-Valdez, V García-Díaz… - Algorithms, 2020 - mdpi.com
Big data and artificial intelligence are currently two of the most important and trending pieces
for innovation and predictive analytics in healthcare, leading the digital healthcare …

Wireless monitoring and real-time adaptive predictive indicator of deterioration

HP Duncan, B Fule, I Rice, AJ Sitch, D Lowe - Scientific reports, 2020 - nature.com
To assist in the early warning of deterioration in hospitalised children we studied the
feasibility of collecting continuous wireless physiological data using Lifetouch (ECG-derived …

Disentangling the clinical data chaos: User-centered interface system design for trauma centers

JY Park, S Rhim, K Han, JG Ko - Plos one, 2021 - journals.plos.org
This paper presents a year-long study of our project, aiming at (1) understanding the work
practices of clinical staff in trauma intensive care units (TICUs) at a trauma center, with …

Technical challenges related to implementation of a formula one real time data acquisition and analysis system in a paediatric intensive care unit

BR Matam, H Duncan - Journal of clinical monitoring and computing, 2018 - Springer
Most existing, expert monitoring systems do not provide the real time continuous analysis of
the monitored physiological data that is necessary to detect transient or combined vital sign …

An architecture for cloud-assisted clinical support system for patient monitoring and disease detection in mobile environments

CC Agbo, QH Mahmoud, JM Eklund - Proceedings of the 12th EAI …, 2018 - dl.acm.org
Opportunities exist to improve healthcare delivery by extending to the domain of mobile
healthcare the emerging clinical support system that facilitates patient monitoring and early …

Automatic and early detection of the deterioration of patients in Intensive and Intermediate Care Units: technological challenges and solutions

J Balladini, P Bruno, R Zurita… - Journal of Computer …, 2018 - sedici.unlp.edu.ar
In the Intensive and Intermediate Care Units of healthcare centres, many sensors are
connected to patients to measure high frequency physiological data. In order to analyse the …

Data Management Optimization in a Real-Time Big Data Analysis System for Intensive Care

R Cañibano, C Rozas, C Orlandi, J Balladini - Conference on Cloud …, 2020 - Springer
Vital signs monitors in intensive and intermediate care units generate large amounts of data,
most of which are not recorded nor taken advantage of. We propose a computer system that …

13 Security system design for medical big data: layered security framework for protecting medical big data

NN Thilakarathne, R Samarasinghe… - Healthcare Big Data …, 2024 - books.google.com
Owing to the rapid development and the evolvement of technology in the twenty-first century
many domains such as agriculture, surveillance, military, healthcare and manufacturing are …