[PDF][PDF] Supervised machine learning-based prediction of COVID-19

A Atta-ur-Rahman, K Sultan, I Naseer… - … , Materials & Continua, 2021 - researchgate.net
COVID-19 turned out to be an infectious and life-threatening viral disease, and its swift and
overwhelming spread has become one of the greatest challenges for the world. As yet, no …

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 …

An innovative mathematical approach to the evaluation of susceptibility in liver disorder based on fuzzy parameterized complex fuzzy hypersoft set

AU Rahman, M Saeed, MA Mohammed… - … signal processing and …, 2023 - Elsevier
Several liver diseases are collectively termed as liver disorder. Usually the diagnosis of a
particular disease is accomplished by considering symptoms as parameters but this is not …

Neuro-fuzzy approach for prediction of neurological disorders: a systematic review

B Bali, EJ Garba - SN Computer Science, 2021 - Springer
Neurological disorders are highly prevalent worldwide, and contributes greatly to global
disease problems. This paper aimed to; presents a systematic review of the neuro-fuzzy …

Diagnosis heart disease using Mamdani fuzzy inference expert system

I Naseer, B Khan, S Saqib, S Tahir, S Tariq… - … Transactions on Scalable …, 2020 - eudl.eu
The death ratio caused by heart diseases is threating around the world. Efficient and
accurate diagnosis through information technology can turn over this picture. This article …

[HTML][HTML] Intelligent task planner for cloud robotics using level of attention empowered with fuzzy system

WA Khan, S Abbas, MA Khan, WM Qazi, MS Khan - SN Applied Sciences, 2020 - Springer
Cloud robotics is a field of robotics that endeavors to summon cloud advances, for instance,
cloud computing, and other internet advances focused on the advantages of merged …

[HTML][HTML] Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms

A Yazdani, M Shanbehzadeh… - BMC Medical Informatics …, 2023 - Springer
Introduction The global society is currently facing a rise in the elderly population. The
concept of successful aging (SA) appeared in the gerontological literature to overcome the …

Nanorobotics: next level of military technology

A Ali, M Qasim, MU Dilawar, ZF Khan… - … for Technology and …, 2022 - ieeexplore.ieee.org
Nanorobotics is a scientific discipline gaining in popularity due to the numerous possibilities
it provides. Materials science, space exploration, ecology, information technology …

An anfis-pso algorithm for predicting four grades of non-alcoholic fatty liver disease

SZ Goldar, AR Ghiasi… - … Congress on Human …, 2020 - ieeexplore.ieee.org
Non-Alcoholic Fatty Liver Disease is a kind of chronic disease which rigorous prediction is
quite difficult at early stages. The prediction of fatty liver plays significant role in treating the …