Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions

A Kalantari, A Kamsin, S Shamshirband, A Gani… - Neurocomputing, 2018 - Elsevier
The explosive growth of data in volume, velocity and diversity that are produced by medical
applications has contributed to abundance of big data. Current solutions for efficient data …

Big data features, applications, and analytics in cardiology—a systematic literature review

S Nazir, M Nawaz, A Adnan, S Shahzad… - IEEE Access, 2019 - ieeexplore.ieee.org
In today's digital world the information surges with the widespread use of the internet and
global communication systems. Healthcare systems are also facing digital transformations …

Research themes in big data analytics for policymaking: Insights from a mixed‐methods systematic literature review

A Suominen, A Hajikhani - Policy & Internet, 2021 - Wiley Online Library
The use of big data and data analytics are slowly emerging in public policy‐making, and
there are calls for systematic reviews and research agendas focusing on the impacts that big …

Characterizing teamwork in cardiovascular care outcomes: a network analytics approach

MB Carson, DM Scholtens, CN Frailey… - … Quality and Outcomes, 2016 - Am Heart Assoc
Background—The nature of teamwork in healthcare is complex and interdisciplinary, and
provider collaboration based on shared patient encounters is crucial to its success …

[HTML][HTML] The human subject: an integrative animal model for 21st century heart failure research

PC Chandrasekera, JJ Pippin - American Journal of Translational …, 2015 - ncbi.nlm.nih.gov
Heart failure remains a leading cause of death and it is a major cause of morbidity and
mortality affecting tens of millions of people worldwide. Despite decades of extensive …

Leveraging Clinical Data Treasures: Integration of an AI Platform into Clinical IT

K Arshad, S Ardalan, B Schreiweis… - Digital Health and …, 2024 - ebooks.iospress.nl
In recent years, there has been a rapid growth in the use of AI in the clinical domain. In order
to keep pace with this development, a framework should be created in which clinical AI …

Большие данные и искусственный интеллект в государственном управлении: анализ теории и выделение российских научных сообществ

ИМ Кузнеченко - Информационное общество, 2023 - infosoc.iis.ru
Аннотация Работа посвящена проблеме внедрения технологий больших данных и
искусственного интеллекта в систему государственного управления. В исследование …

An intelligent ECG interactive processing system based on Android and cloud computing platform

M Shu, N Wei, J Xu, M Yang - 2017 IEEE/CIC International …, 2017 - ieeexplore.ieee.org
ECG (electrocardiogram) is of great value in the diagnosis of acute myocardial infarction,
myocardial ischemia, ventricular hypertrophy and conduction disorders. In this paper, we …

A study assessing the characteristics of big data environments that predict high research impact: application of qualitative and quantitative methods

O Ameli - 2020 - search.proquest.com
BACKGROUND: Big data offers new opportunities to enhance healthcare practice. While
researchers have shown increasing interest to use them, little is known about what drives …

Big Data and mHealth: Increasing the Usability of Healthcare Through the Customization of Pinterest–Literary Perspective

N Shipley, J Chakraborty - Consumer-driven technologies in …, 2019 - igi-global.com
Technology has greatly improved healthcare. Research has shown that improved user
experience can vastly increase the volume and quality of knowledge gained from the …