EEG datasets for seizure detection and prediction— A review
Sign Up to like & getrecommendations! Published in 2023 at "Epilepsia Open"
DOI: 10.1002/epi4.12704
Abstract: Electroencephalogram (EEG) datasets from epilepsy patients have been used to develop seizure detection and prediction algorithms using machine learning (ML) techniques with the aim of implementing the learned model in a device. However, the format… read more here.
Keywords: seizure detection; eeg datasets; publicly available; detection prediction ... See more keywords
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Sign Up to like & getrecommendations! Published in 2024 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1530
Abstract: Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent advancements in applying artificial intelligence (AI) techniques for AF… read more here.
Keywords: detection; artificial intelligence; systematic review; prediction ... See more keywords
Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography
Sign Up to like & getrecommendations! Published in 2022 at "International Urology and Nephrology"
DOI: 10.1007/s11255-022-03165-w
Abstract: Although renal failure is a major healthcare burden globally and the cornerstone for preventing its irreversible progression is an early diagnosis, an adequate and noninvasive tool to screen renal impairment (RI) reliably and economically does… read more here.
Keywords: dlm; renal impairment; detection prediction; using electrocardiography ... See more keywords
Detection and prediction of segments containing extreme significant wave heights
Sign Up to like & getrecommendations! Published in 2017 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2017.07.009
Abstract: Abstract This paper presents a methodology for the detection and prediction of Segments containing very high Significant Wave Height (SSWH) values in oceans. This kind of prediction is needed in order to account for potential… read more here.
Keywords: detection; significant wave; prediction segments; prediction ... See more keywords
Detection and prediction of anomalous behaviors of enterprise’s employees based on data-mining and optimization algorithm
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-68315-9
Abstract: Internal employees have always been at the core of organizational security management challenges. Once an employee exhibits behaviors that threaten the organization, the resulting damage can be profound. Therefore, analyzing reasonably stored behavioral data can… read more here.
Keywords: detection; data mining; algorithm; prediction anomalous ... See more keywords
AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3251105
Abstract: Epilepsy is a neurological condition affecting around 50 million individuals worldwide, reported by the World Health Organization. This is identified as a hypersensitive disease by clinical associations. The unique characteristics of Electroencephalography have proven to… read more here.
Keywords: epileptic seizure; seizure detection; detection prediction;
Enhanced Fall Detection and Prediction Using Heterogeneous Hidden Markov Models in Indoor Environment
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3486077
Abstract: Falls among the elderly pose a significant risk, often leading to serious injuries and a decline in overall well-being. This study employs an Heterogenous Hidden Markov Model (HHMM) that utilizes 3D vision-based body articulation data… read more here.
Keywords: hidden markov; prediction; body; detection prediction ... See more keywords
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2022.3185584
Abstract: During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly. However, despite significant performance improvements, their hardware implementation using conventional technologies, such as Complementary Metal–Oxide–Semiconductor (CMOS), in power and area-constrained settings… read more here.
Keywords: seizure detection; seizure; convolutional neural; detection prediction ... See more keywords
Detection and Prediction of FDI Attacks in IoT Systems via Hidden Markov Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3161479
Abstract: False data injection (FDI) attacks aim to threaten the security of Internet of Things (IoT) systems by falsifying a device's measurements without being detected. In this paper, we propose a process for detecting and predicting… read more here.
Keywords: hidden markov; detection prediction; fdi attacks; detection ... See more keywords
Cancer Detection and Prediction Using Genetic Algorithms
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1871841
Abstract: Cancer is a wide category of diseases that is caused by the abnormal, uncontrollable growth of cells, and it is the second leading cause of death globally. Screening, early diagnosis, and prediction of recurrence give… read more here.
Keywords: genetic algorithms; detection prediction; cancer; cancer detection ... See more keywords
Retracted: IoT-Enabled Framework for Early Detection and Prediction of COVID-19 Suspects by Leveraging Machine Learning in Cloud
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9768467
Abstract: [This retracts the article DOI: 10.1155/2022/7713939.]. read more here.
Keywords: retracted iot; framework early; enabled framework; detection prediction ... See more keywords