Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
[HTML][HTML] Stability of feature selection algorithm: A review
UM Khaire, R Dhanalakshmi - Journal of King Saud University-Computer …, 2022 - Elsevier
Feature selection technique is a knowledge discovery tool which provides an understanding
of the problem through the analysis of the most relevant features. Feature selection aims at …
of the problem through the analysis of the most relevant features. Feature selection aims at …
Early detection of Parkinson's disease using deep learning and machine learning
Accurately detecting Parkinson's disease (PD) at an early stage is certainly indispensable
for slowing down its progress and providing patients the possibility of accessing to disease …
for slowing down its progress and providing patients the possibility of accessing to disease …
Binary grey wolf optimizer with mutation and adaptive k-nearest neighbour for feature selection in Parkinson's disease diagnosis
RR Rajammal, S Mirjalili, G Ekambaram… - Knowledge-Based …, 2022 - Elsevier
Disease identification and classification relies on Feature Selection (FS) to find the relevant
features for accurate medical diagnosis. FS is an optimization problem solved with the help …
features for accurate medical diagnosis. FS is an optimization problem solved with the help …
A hybrid system for Parkinson's disease diagnosis using machine learning techniques
Parkinson's disease is a neurodegenerative disorder that progresses slowly and its
symptoms appear over time, so its early diagnosis is not easy. A neurologist can diagnose …
symptoms appear over time, so its early diagnosis is not easy. A neurologist can diagnose …
Robust automated Parkinson disease detection based on voice signals with transfer learning
Parkinson's disease (PD) is a progressive-neurodegenerative disorder that affects more
than 6 million people around the world. However, conventional techniques for PD detection …
than 6 million people around the world. However, conventional techniques for PD detection …
Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …
(PD). This study has summarized the literature related to speech and voice in detecting PD …
Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
Dimensionality reduction approach based on modified hunger games search: case study on Parkinson's disease phonation
Abstract Hunger Games Search (HGS) is a newly developed swarm-based algorithm
inspired by the cooperative behavior of animals and their hunting strategies to find prey …
inspired by the cooperative behavior of animals and their hunting strategies to find prey …
Complexity analysis and forecasting of variations in cryptocurrency trading volume with support vector regression tuned by Bayesian optimization under different …
When cryptocurrency markets generate billions of dollars, it becomes interesting to forecast
variation in volume of transactions for better trading and for better management of …
variation in volume of transactions for better trading and for better management of …