The digital world has a wealth of data, such as internet of things (IoT) data, business data, health data, mobile data, urban data, security data, and many more, in the current age of the …
A Garg, V Mago - Computer science review, 2021 - Elsevier
Abstract Machine learning is one of the essential and effective tools in analyzing highly complex medical data. With vast amounts of medical data being generated, there is an …
The medical field relies heavily on data analysis to accurately diagnose diseases. To achieve this, various research methods must be filtered and appropriate equipment used …
Feature selection is an NP-hard problem to remove irrelevant and redundant features with no predictive information to increase the performance of machine learning algorithms. Many …
K Pradhan, P Chawla - Journal of Management Analytics, 2020 - Taylor & Francis
This paper empirically evaluates the several machine learning algorithms adaptable for lung cancer detection linked with IoT devices. In this work, a review of nearly 65 papers for …
Fog computing is a modern computing model which offers geographically dispersed end- users with the latency-aware and highly scalable services. It is comparatively safer than …
S Bhat, UR Acharya, Y Hagiwara, N Dadmehr… - Computers in biology …, 2018 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …
Huge amounts of data are circulating in the digital world in the era of the Industry 5.0 revolution. Machine learning is experiencing success in several sectors such as intelligent …
Background: Authors have been advocating the research ideology that a computer-aided diagnosis (CAD) system trained using lots of patient data and physiological signals and …