A robust heart disease prediction system using hybrid deep neural networks

MS Al Reshan, S Amin, MA Zeb, A Sulaiman… - IEEE …, 2023 - ieeexplore.ieee.org
Heart Disease (HD) is recognized as the leading cause of worldwide mortality by the World
Health Organization (WHO), resulting in the loss of approximately 17.9 million lives each …

Ensemble Learning with Symbiotic Organism Search Optimization Algorithm for Breast Cancer Classification & Risk Identification of Other Organs on Histopathological …

N Routray, SK Rout, B Sahu, SK Panda… - IEEE …, 2023 - ieeexplore.ieee.org
Breast cancer (BC) is closely linked with the maximum mortality rate for cancer detection
across the globe and has become a predominant public health issue. Earlier detection might …

[HTML][HTML] Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review

Z Rudnicka, K Proniewska, M Perkins, A Pregowska - Electronics, 2024 - mdpi.com
Recently, significant efforts have been made to create Health Digital Twins (HDTs), Digital
Twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …

[HTML][HTML] Heart failure detection using instance quantum circuit approach and traditional predictive analysis

S Alsubai, A Alqahtani, A Binbusayyis, M Sha… - Mathematics, 2023 - mdpi.com
The earlier prediction of heart diseases and appropriate treatment are important for
preventing cardiac failure complications and reducing the mortality rate. The traditional …

Automated cardiovascular disease diagnosis using Honey Badger Optimization with modified deep learning model

M Obayya, JM Alsamri, MA Al-Hagery… - IEEE …, 2023 - ieeexplore.ieee.org
The leading cause of death among people around the world is cardiovascular disease
(CVD). In order to prevent patients from other damages, precise diagnostics of CVD on time …

The bi-long short-term memory based on multiscale and mesoscale feature extraction for electric load forecasting

GF Fan, JW Li, LL Peng, HP Huang, WC Hong - Applied Soft Computing, 2024 - Elsevier
Accurate power load prediction is beneficial to the efficient use of electric energy and the
orderly development of power systems. Given the strong volatility and complexity of power …

Artificial Intelligence Driven Intelligent Computational Model for Heart Disease Prediction: Leveraging Feature Selection

P Pal, V Grover, M Nandal, S Gochhait… - … for Sustainability and …, 2024 - ieeexplore.ieee.org
In recent years, heart disease has become a very serious threat to the health and safety of
people all over the globe. Typically, this condition occurs when there is an insufficient supply …

Enhancing healthcare in the digital era: A secure e-health system for heart disease prediction and cloud security

V Janarthanan, T Annamalai, M Arumugam - Expert Systems with …, 2024 - Elsevier
In the modern world, due to changing lifestyles, more people are infected by deadly
diseases, especially heart disorders. An early prognosis is the only possible way of …

Intelligent Methods for Early Prediction of Heart Disease

HA Al-Jamimi - 2023 9th International Conference on Control …, 2023 - ieeexplore.ieee.org
The early diagnosis of heart disease relies on accurately assessing symptoms that manifest
at different stages of the disease. The health care sector holds extensive patient records …

CNN-based method for chromatic confocal microscopy

J Wu, Y Yuan, T Liu, J Hu, D Xiao, X Wei, H Guo… - Precision …, 2024 - Elsevier
In view of the inevitable error problems caused by peak extraction, calibration curve fitting
and other essential operations in the traditional data processing of chromatic confocal …