Involvement of machine learning tools in healthcare decision making

SMDAC Jayatilake… - Journal of healthcare …, 2021 - Wiley Online Library
In the present day, there are many diseases which need to be identified at their early stages
to start relevant treatments. If not, they could be uncurable and deadly. Due to this reason …

Effect of balancing data using synthetic data on the performance of machine learning classifiers for intrusion detection in computer networks

AS Dina, AB Siddique, D Manivannan - Ieee Access, 2022 - ieeexplore.ieee.org
Attacks on computer networks have increased significantly in recent days, due in part to the
availability of sophisticated tools for launching such attacks as well as the thriving …

RETRACTED ARTICLE: Refining Parkinson's neurological disorder identification through deep transfer learning

A Naseer, M Rani, S Naz, MI Razzak, M Imran… - Neural Computing and …, 2020 - Springer
Abstract Parkinson's disease (PD), a multi-system neurodegenerative disorder which affects
the brain slowly, is characterized by symptoms such as muscle stiffness, tremor in the limbs …

Early detection of Parkinson's disease through speech features and machine learning: A review

AS Gullapalli, VK Mittal - ICT with Intelligent Applications: Proceedings of …, 2021 - Springer
Parkinson's Disease (PD) is a kind of neurodegenerative disorder. The disease causes
communication impairment based on its progression. In general, identification of PD carried …

Parkinson disease detection using deep neural networks

A Johri, A Tripathi - 2019 Twelfth international conference on …, 2019 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurodegenerative disorder, which is responsible for the
deterioration of motor function due to loss of dopamine-producing brain cells ie neurons …

Image-based Parkinson disease detection using deep transfer learning and optimization algorithm

S Agrawal, SP Sahu - International Journal of Information Technology, 2024 - Springer
Parkinson's disease (PD) is typically a neurodegenerative disorder that slowly affects the
brain, causes muscle stiffness, limb tremor and impaired balance that tends to get worsen …

Parkinson classification neural network with mass algorithm for processing speech signals

B Akila, JJV Nayahi - Neural Computing and Applications, 2024 - Springer
Parkinson's disease (PD) is a condition that degenerates over time and impairs speech and
pronunciation because brain cells have died. This research work aims to predict parkinson …

[PDF][PDF] Prediction of cardiovascular diseases based on machine learning

W Sun, P Zhang, Z Wang, D Li - ASP Transactions on Internet of …, 2021 - scholar.archive.org
With the rapid development of artificial intelligence, it is very important to mine the latent
information from the medical data. At present, cardiovascular disease has become a major …

[HTML][HTML] IoT solution for AI-enabled PRIVACY-PREServing with big data transferring: an application for healthcare using blockchain

M Elhoseny, K Haseeb, AA Shah, I Ahmad, Z Jan… - Energies, 2021 - mdpi.com
Internet of Things (IoT) performs a vital role in providing connectivity between computing
devices, processes, and things. It significantly increases the communication facilities and …

[HTML][HTML] Empirical study on classifiers for earlier prediction of COVID-19 infection cure and death rate in the Indian states

P Guleria, S Ahmed, A Alhumam, PN Srinivasu - Healthcare, 2022 - mdpi.com
Machine Learning methods can play a key role in predicting the spread of respiratory
infection with the help of predictive analytics. Machine Learning techniques help mine data …