An optimal heart disease prediction using chaos game optimization-based recurrent neural model

A Alam, M Muqeem - International Journal of Information Technology, 2023 - Springer
Heart disease is the significant reason of increasing death in worldwide. The early prediction
of heart disease is obtained as a challenging role and this prevents severe heart diseases …

Addressing image and Poisson noise deconvolution problem using deep learning approaches

MH Syed, K Upreti, MS Nasir, MS Alam… - Computational …, 2023 - Wiley Online Library
Digital images are more important in numerous contemporary applications, and the need for
images in the technical field is also increasing drastically. It is used to recognize signatures …

Learning-based techniques for heart disease prediction: a survey of models and performance metrics

PC Bizimana, Z Zhang, M Asim, AAA El-Latif… - Multimedia Tools and …, 2024 - Springer
Heart disease (HD) is a major threat to human health, and the medical field generates vast
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …

Risk assessment of atherosclerotic cardiovascular disease based on feature selection of L1-CBFS

M Yang, L He, W Liu, Y Zhang, H Huang - Biomedical Signal Processing …, 2024 - Elsevier
To achieve risk assessment of atherosclerotic cardiovascular disease, the number of
features directly affects the performance of the model. In this paper, we propose a L1 …

[PDF][PDF] Effective Autism Spectrum Disorder Prediction to Improve the Clinical Traits using Machine Learning Techniques

R Surendiran, M Thangamani… - International Journal …, 2022 - researchgate.net
Autism spectrum disorder (ASD) is a neurodevelopmental complaint that influences an
individual's communication, announcement, and knowledge talents. Analysis of Autism can …

Influence of Management Education on Enterprise Scientific and Technological Innovation Based on K‐Means Clustering Algorithm

J Ma, Z Li, Z Liu, S Zhang, W Lai - Mathematical Problems in …, 2022 - Wiley Online Library
Scientific and technological innovation is the source of the survival and development of
enterprises and the key to the realization of the goal of prosperity. In recent years, more and …

[PDF][PDF] Classification model for diabetes mellitus diagnosis based on k-means clustering algorithm optimized with bat algorithm

S Anam, Z Fitriah, N Hidayat… - International Journal of …, 2023 - academia.edu
Diabetes mellitus is a disease characterized by abnormal glucose homeostasis resulting in
an increase in blood sugar. According to data from the International Diabetes Federation …

Customer value evaluation model for smes based on K-Means clustering algorithm

Y Bu, S Liu - Proceedings of the 2023 6th International Conference …, 2023 - dl.acm.org
With the acceleration of the process of global economic integration, the market competition
has become increasingly fierce, and the competition among SMEs has changed from the …

The Application of K-Means Clustering Algorithm in the Quality Analysis of College English Teaching

J Liu - 2022 International Conference on Education, Network …, 2022 - ieeexplore.ieee.org
Colleges and universities should keep up with changes in market demand, actively adapt to
the needs of social development, continuously deepen the reform of college education and …

Computational Anatomy: K-Hyperparameter Tuning on Heart Beat Phonocardiograms Using an Improved Autoencoder Pre-Trained on Multicore T-Sne

R Gikera, J Mwaura, S Mambo, E Maina - Available at SSRN 4820716 - papers.ssrn.com
Cardiovascular diseases continue to be a major global health concern, necessitating
advanced computational anatomy approaches for accurate diagnosis and prognosis. K …