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Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations
To date, health care industry has not fully grasped the potential benefits to be gained from
big data analytics. While the constantly growing body of academic research on big data …
big data analytics. While the constantly growing body of academic research on big data …
Design and Implementation for EEG Artifact Detection and Removal Technique for Neuro Training Application: Cognitive Signal Conditioning
A complete and rigorous literature evaluation focused on the detection and elimination of
artifacts from EEG signals was presented in the preceding chapter. Issue-wise solution …
artifacts from EEG signals was presented in the preceding chapter. Issue-wise solution …
Smart Detection and Removal of Artifacts in Cognitive Signals Using Biomedical Signal Intelligence Applications
RK Kanna, KY Devi, R Gomalavalli… - Quantum Innovations at …, 2024 - igi-global.com
ABSTRACT A complete and detailed literature evaluation concentrating on the detection
and elimination of artifacts from EEG data was described in the preceding chapter. Issue …
and elimination of artifacts from EEG data was described in the preceding chapter. Issue …
Radiological Imaging Techniques Using Dwt Methodology
When medical pictures are compressed, valuable information is extracted from the data they
contain that is crucial for clinicians to understand clinically. The purpose of the notion of …
contain that is crucial for clinicians to understand clinically. The purpose of the notion of …
Study on diabetic conditions monitoring using deep learning application
The application of technology search in full industrial management has been shown to be
advanced to some extent by deep learning models. The replacement of activities that need …
advanced to some extent by deep learning models. The replacement of activities that need …
Machine Learning Based Cardiovascular Detection Approach
Heart failure is one of the most serious and important diseases to predict between the
enzymes. Recently., artificial intelligence has become fundamental for the survival of the …
enzymes. Recently., artificial intelligence has become fundamental for the survival of the …
Prediction of Covid-19 Using Artificial Intelligence [AI] Applications
In December 2019, the infection which triggered the pandemic originated in the Hubei
territory of Wuhan, China. They were identified as SARS-CoV-2, a highly infectious, readily …
territory of Wuhan, China. They were identified as SARS-CoV-2, a highly infectious, readily …
Optimizing arrhythmia identification using chaos theory and deep learning analysis
NM Eldakhly - The Computer Journal, 2025 - academic.oup.com
Optimal heart function is crucial for quality life. Electrocardiograms are indispensable for
diagnosing cardiac irregularities and analyzing heartbeat signals. This study unveils three …
diagnosing cardiac irregularities and analyzing heartbeat signals. This study unveils three …
Smart Patient Health Monitor for Diabetic Condition Using Deep Learning Application
TS Kumari, R Vasuki - 2024 4th International Conference on …, 2024 - ieeexplore.ieee.org
Technology in the medical and health industries is being rapidly advanced by the Internet of
Things (IoT). IoT solutions for wearable health address new problems using state-of-the-art …
Things (IoT). IoT solutions for wearable health address new problems using state-of-the-art …
Exploration of ML Paradigms in Devising an IPS
S Das - 2023 International Conference on Power Energy …, 2023 - ieeexplore.ieee.org
The digital revolution has contributed to the simplification of previously time-consuming
tasks. In this research, we are going to study machine learning techniques in the defense …
tasks. In this research, we are going to study machine learning techniques in the defense …