Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations

Y Wang, LA Kung, TA Byrd - Technological forecasting and social change, 2018 - Elsevier
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 …

Study on diabetic conditions monitoring using deep learning application

RK Kanna, R Chandrasekaran… - 2023 3rd …, 2023 - ieeexplore.ieee.org
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 …

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
A complete and detailed literature evaluation concentrating on the detection and elimination
of artifacts from EEG data was described in the preceding chapter. Issue-wise solution …

Design and Implementation for EEG Artifact Detection and Removal Technique for Neuro Training Application: Cognitive Signal Conditioning

RK Kanna, G Jyothi, A Ambikapathy… - Intelligent Solutions for …, 2024 - igi-global.com
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 …

Prediction of Covid-19 Using Artificial Intelligence [AI] Applications

RK Kanna, M Ishaque, BS Panigrahi… - … Conference on Cryptology …, 2022 - Springer
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 …

Machine Learning Based Cardiovascular Detection Approach

RK Kanna, A Ambikapathy, M Brayyich… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
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 …

Clinical Application of Neural Network for Cancer Detection Application

RK Kanna, R Ravindraiah, C Priya… - … on Pervasive Health …, 2024 - publications.eai.eu
INTRODUCTION: The field of medical diagnostics is currently confronted with a significant
obstacle in the shape of cancer, a disease that tragically results in the loss of millions of lives …

Radiological Imaging Techniques Using Dwt Methodology

RK Kanna, P Kumar, A Ambikapathy… - … on Advances in …, 2023 - ieeexplore.ieee.org
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 …

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 …

IoT-Driven Bioelectrical Signals Detection and Monitoring System

M Chakole, I Ainchwar, V Budhe… - 2024 International …, 2024 - ieeexplore.ieee.org
The integration of Internet of Things (IoT) technology in healthcare has opened new
avenues for monitoring and managing patient health remotely. This paper presents the …