[HTML][HTML] A review of data mining using big data in health informatics

M Herland, TM Khoshgoftaar, R Wald - Journal of Big data, 2014 - Springer
The amount of data produced within Health Informatics has grown to be quite vast, and
analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained …

Exploiting big data for critical care research

AB Docherty, NI Lone - Current opinion in critical care, 2015 - journals.lww.com
Big data have the potential to improve medical care and reduce costs, both by
individualizing medicine, and bringing together multiple sources of data about individual …

Case study on state-of-the-art wellness and health tracker devices

S Vyas, S Gupta - Handbook of research on lifestyle sustainability …, 2022 - igi-global.com
In today's world, the concept of smart health is attaining acceptance in the field of medical
sciences which is based completely on the concept of IoT. IoT devices are responsible for …

Personalized health monitoring system of elderly wellness at the community level in Hong Kong

L Yu, WM Chan, Y Zhao, KL Tsui - IEEE Access, 2018 - ieeexplore.ieee.org
Rapid advances in information and sensor technology have led to the development of tools
and methods for personalized health monitoring. These techniques support timely and …

Big data in neonatal intensive care

C McGregor - Computer, 2013 - ieeexplore.ieee.org
The effective use of big data within neonatal intensive care units has great potential to
support a new wave of clinical discovery, leading to earlier detection and prevention of a …

Comparing regression and neural network techniques for personalized predictive analytics to promote lung protective ventilation in Intensive Care Units

R Hagan, CJ Gillan, I Spence, D McAuley… - Computers in biology …, 2020 - Elsevier
Mechanical ventilation is a lifesaving tool and provides organ support for patients with
respiratory failure. However, injurious ventilation due to inappropriate delivery of high tidal …

Intelligent and real-time data acquisition for medical monitoring in smart campus

Y Liang, Z Chen - IEEE Access, 2018 - ieeexplore.ieee.org
With the continuous development of information technology, people are gradually moving
from the digital age to the intelligent era. As one of the most representative emerging …

Implementation of artifact detection in critical care: A methodological review

S Nizami, JR Green, C McGregor - IEEE reviews in biomedical …, 2013 - ieeexplore.ieee.org
Artifact detection (AD) techniques minimize the impact of artifacts on physiologic data
acquired in critical care units (CCU) by assessing quality of data prior to clinical event …

Clinical data analysis: An opportunity to compare machine learning methods

A Salcedo-Bernal, MP Villamil-Giraldo… - Procedia Computer …, 2016 - Elsevier
In the literature there are multiple machine learning techniques that have been used
successfully in clinical data analysis. However, there is little information about the parameter …

[HTML][HTML] A personalized health monitoring system for community-dwelling elderly people in Hong Kong: design, implementation, and evaluation study

H Wang, Y Zhao, L Yu, J Liu, IM Zwetsloot… - Journal of medical …, 2020 - jmir.org
Background Telehealth is an effective means to assist existing health care systems,
particularly for the current aging society. However, most extant telehealth systems employ …