Popular deep learning algorithms for disease prediction: a review

Z Yu, K Wang, Z Wan, S Xie, Z Lv - Cluster Computing, 2023 - Springer
Due to its automatic feature learning ability and high performance, deep learning has
gradually become the mainstream of artificial intelligence in recent years, playing a role in …

Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture

LP Joseph, EA Joseph, R Prasad - Computers in Biology and Medicine, 2022 - Elsevier
Diabetes is a deadly chronic disease that occurs when the pancreas is not able to produce
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …

A review: heart disease prediction in machine learning & deep learning

WAWA Bakar, NLNB Josdi, MB Man… - 2023 19th IEEE …, 2023 - ieeexplore.ieee.org
The whole world has come to know the fact that heart disease is not a trivial issue. Although
the years have changed, throngs of patients are diagnosed with this lethal disease and not …

Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts

J Chen, S Huang, Y Zhang, Q Chang, Y Zhang… - Nature …, 2024 - nature.com
Early detection is critical to achieving improved treatment outcomes for child patients with
congenital heart diseases (CHDs). Therefore, developing effective CHD detection …

Diagnosis of diabetes using machine learning algorithms

FA Khaleel, AM Al-Bakry - Materials Today: Proceedings, 2023 - Elsevier
One of the chronic diseases is Diabetes, Diabetes is a metabolic disorder category caused
by continued high levels of blood sugar. It is regarded as one of the most deadly diseases in …

Feature selection and dwarf mongoose optimization enabled deep learning for heart disease detection

S Balasubramaniam, K Satheesh Kumar… - Computational …, 2022 - Wiley Online Library
Heart disease causes major death across the entire globe. Hence, heart disease prediction
is a vital part of medical data analysis. Recently, various data mining and machine learning …

An improved framework for reliable cardiovascular disease prediction using hybrid ensemble learning

T Mahmud, A Barua, M Begum… - 2023 International …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs), which include heart disorders, are the most prevalent and
significant causes of death worldwide, including Bangladesh. Blood artery problems, rhythm …

A multi-variate heart disease optimization and recognition framework

HM Balaha, AO Shaban, EM El-Gendy… - Neural Computing and …, 2022 - Springer
Cardiovascular diseases (CVD) are the most widely spread diseases all over the world
among the common chronic diseases. CVD represents one of the main causes of morbidity …

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 …

[HTML][HTML] Polygenic risk score for cardiovascular diseases in artificial intelligence paradigm: a review

NN Khanna, M Singh, M Maindarkar… - Journal of Korean …, 2023 - synapse.koreamed.org
Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The
relationship between external risk factors and our genetics have not been well established. It …