Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

U Raghavendra, A Gudigar, A Paul, TS Goutham… - Computers in Biology …, 2023 - Elsevier
A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting
pressure on the healthy parts of the brain, it can lead to significant health problems …

Artificial intelligence-enabled digital transformation in elderly healthcare field: scoping review

CH Lee, C Wang, X Fan, F Li, CH Chen - Advanced Engineering …, 2023 - Elsevier
As the ageing population grows continuously, traditional healthcare providers are
experiencing difficulty in keeping up with changing and unpredictable demands as well as …

[HTML][HTML] A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach

N Biswas, KMM Uddin, ST Rikta, SK Dey - Healthcare Analytics, 2022 - Elsevier
Stroke is the third leading cause of death in the world. It is a dangerous health disorder
caused by the interruption of the blood flow to the brain, resulting in severe illness, disability …

AI-based stroke disease prediction system using ECG and PPG bio-signals

J Yu, S Park, SH Kwon, KH Cho, H Lee - Ieee Access, 2022 - ieeexplore.ieee.org
Since stroke disease often causes death or serious disability, active primary prevention and
early detection of prognostic symptoms are very important. Stroke diseases can be divided …

A review of recurrent neural network-based methods in computational physiology

S Mao, E Sejdić - IEEE transactions on neural networks and …, 2022 - ieeexplore.ieee.org
Artificial intelligence and machine learning techniques have progressed dramatically and
become powerful tools required to solve complicated tasks, such as computer vision, speech …

An integrative paradigm for enhanced stroke prediction: Synergizing xgboost and xdeepfm algorithms

W Dai, Y Jiang, C Mou, C Zhang - Proceedings of the 2023 6th …, 2023 - dl.acm.org
Stroke prediction plays a crucial role in preventing and managing this debilitating condition.
In this study, we address the challenge of stroke prediction using a comprehensive dataset …

Deep learning in ischemic stroke imaging analysis: a comprehensive review

L Cui, Z Fan, Y Yang, R Liu, D Wang… - BioMed Research …, 2022 - Wiley Online Library
Ischemic stroke is a cerebrovascular disease with a high morbidity and mortality rate, which
poses a serious challenge to human health and life. Meanwhile, the management of …

Artificial intelligence-based control and coordination of multiple PV inverters for reactive power/voltage control of power distribution networks

A Rehman, M Ali, S Iqbal, A Shafiq, N Ullah, SA Otaibi - Energies, 2022 - mdpi.com
The integration of Renewable Energy Resources (RERs) into Power Distribution Networks
(PDN) has great significance in addressing power deficiency, economics and environmental …

A novel deep transfer learning approach based on depth-wise separable CNN for human posture detection

RO Ogundokun, R Maskeliūnas, S Misra… - Information, 2022 - mdpi.com
Human posture classification (HPC) is the process of identifying a human pose from a still
image or moving image that was recorded by a digicam. This makes it easier to keep a …

Survey of deep learning techniques for disease prediction based on omics data

X Yu, S Zhou, H Zou, Q Wang, C Liu, M Zang, T Liu - Human Gene, 2023 - Elsevier
In the era of big data, computer science has been applied to every aspect of biomedical
field. At the same time, transforming biomedical data into valuable knowledge is one of the …