Intelligent Cloud Based Heart Disease Prediction System Empowered with Supervised Machine Learning.

MA Khan, S Abbas, A Atta, A Ditta… - Computers …, 2020 - search.ebscohost.com
The innovation in technologies related to health facilities today is increasingly helping to
manage patients with different diseases. The most fatal of these is the issue of heart disease …

Modelling, simulation and optimization of diagnosis cardiovascular disease using computational intelligence approaches

SY Siddiqui, A Athar, MA Khan, S Abbas… - Journal of Medical …, 2020 - ingentaconnect.com
Background: To provide ease to diagnose that serious sickness multi-technique model is
proposed. Data Analytics and Machine intelligence are involved in the detection of various …

The low-temperature effect on sports regeneration

R Trybulski, A Vovkanych, O Bas… - Fisioterapia em …, 2023 - SciELO Brasil
Introduction Intense physical activity and increased exercise significantly reduce the body's
adaptive capacity, negatively affect the recovery processes of athletes, and can significantly …

[PDF][PDF] Data and Machine Learning Fusion Architecture for Cardiovascular Disease Prediction.

M Ahmad, M Alfayad, S Aftab, MA Khan… - … , Materials & Continua, 2021 - researchgate.net
Heart disease, which is also known as cardiovascular disease, includes various conditions
that affect the heart and has been considered a major cause of death over the past decades …

Diagnosis of lung disease based on medical images using artificial neural networks

A Sheremet, Y Kondratenko, I Sidenko… - 2021 IEEE 3rd …, 2021 - ieeexplore.ieee.org
The rapid development of technological advances, due to which computer algorithms for
image analysis compete with professionals in terms of accuracy, but remain unchanged in …

[PDF][PDF] Forecasting economic indices of agricultural enterprises based on vector polynomial canonical expansion of random sequences

IP Atamanyuk, YP Kondratenko… - Proceedings of the 12-th …, 2016 - researchgate.net
Calculating method for forecasting economic indices of agricultural enterprises on the basis
of vector polynomial exponential algorithm of extrapolation of the realizations of random …

[PDF][PDF] Machine learning classificatory as a tool in the diagnosis of amyotrophic lateral sclerosis using diffusion tensor imaging parameters collected with 1.5 T MRI …

M Jamrozy, E Maj, M Bielecki, M Bartoszek… - Electronic Journal of …, 2023 - ejgm.uk
The relevance of the study lies in the need to improve the diagnosis of amyotrophic lateral
sclerosis (ALS) by utilizing diffusion tensor imaging (DTI) obtained from conventional 1.5 …

[PDF][PDF] Forecasting of cereal crop harvest on the basis of an extrapolation canonical model of a vector random sequence

I Atamanyuk, Y Kondratenko, V Shebanin, N Sirenko… - 2019 - ceur-ws.org
The work is devoted to the solving of an important economic problem of the forecasting of
cereal crop harvest. A stochastic character of the change of crop yield figures because of the …

Reduced library of the soft computing analytic models for arithmetic operations with asymmetrical fuzzy numbers

YP Kondratenko… - International Journal of …, 2016 - search.proquest.com
This chapter depicts the increasing efficiency of the softcomputing algorithms and fuzzy
information processing models by developing a Library of universal analytic models for fuzzy …

Management system for agricultural enterprise on the basis of its economic state forecasting

I Atamanyuk, Y Kondratenko, N Sirenko - Complex Systems: Solutions and …, 2018 - Springer
Management system (MS) for agricultural enterprise on the basis of its economic state
forecasting was developed. MS allows to estimate the results of enterprise's work in future …