The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges
Abstract Progress in Information and Communication Technologies (ICTs) is shaping more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
Data mining for the internet of things: literature review and challenges
The massive data generated by the Internet of Things (IoT) are considered of high business
value, and data mining algorithms can be applied to IoT to extract hidden information from …
value, and data mining algorithms can be applied to IoT to extract hidden information from …
Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach
L Tan, K Yu, AK Bashir, X Cheng, F Ming… - Neural Computing and …, 2023 - Springer
Patients with deaths from COVID-19 often have co-morbid cardiovascular disease. Real-
time cardiovascular disease monitoring based on wearable medical devices may effectively …
time cardiovascular disease monitoring based on wearable medical devices may effectively …
A deep learning approach for ECG-based heartbeat classification for arrhythmia detection
G Sannino, G De Pietro - Future Generation Computer Systems, 2018 - Elsevier
Classification is one of the most popular topics in healthcare and bioinformatics, especially
in relation to arrhythmia detection. Arrhythmias are irregularities in the rate or rhythm of the …
in relation to arrhythmia detection. Arrhythmias are irregularities in the rate or rhythm of the …
Learning k for kNN Classification
The K Nearest Neighbor (kNN) method has widely been used in the applications of data
mining and machine learning due to its simple implementation and distinguished …
mining and machine learning due to its simple implementation and distinguished …
Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …
particularly in sectors such as healthcare, owing to the exponential growth of data and …
UbeHealth: A personalized ubiquitous cloud and edge-enabled networked healthcare system for smart cities
Smart city advancements are driving massive transformations of healthcare, the largest
global industry. The drivers include increasing demands for ubiquitous, preventive, and …
global industry. The drivers include increasing demands for ubiquitous, preventive, and …
Big data analytics for healthcare industry: impact, applications, and tools
In recent years, huge amounts of structured, unstructured, and semi-structured data have
been generated by various institutions around the world and, collectively, this …
been generated by various institutions around the world and, collectively, this …
Computational health informatics in the big data age: a survey
The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …
of research activity in the healthcare and data sciences fields. The conventional approaches …
Big data and the united nations sustainable development goals (UN SDGs) at a glance
H Hassani, X Huang, S MacFeely… - Big Data and Cognitive …, 2021 - mdpi.com
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015
was a historic event, uniting countries around the world around the shared agenda of …
was a historic event, uniting countries around the world around the shared agenda of …