Applying Machine Learning to Enhance COVID-19 Prediction and Diagnosis of COVID-19 Treatment Using Convalescent Plasma

L Kongala, T Shilpa, K Reddy Madhavi… - … : Proceedings of ICDIC …, 2022 - Springer
Abstract The Coronavirus 2 relentless discriminating Respiratory Syndrome, the source of
coronavirus syndrome (COVID-19), has sparked a universal fitness catastrophe. So far …

Cardiac Arrhythmia Detection and Prediction Using Deep Learning Technique

K Nanthini, D Sivabalaselvamani, K Chitra… - Proceedings of Fourth …, 2023 - Springer
One of the fatal diseases in the world is heart disease. Every year, millions of people die of
cardiovascular diseases. However, one can decrease the mortality rates if the heart disease …

Revolutionizing Healthcare: A Comprehensive Framework for Personalized IoT and Cloud Computing-Driven Healthcare Services with Smart Biometric Identity …

SP Praveen, CS Kodete, S Bhyrapuneni… - Journal of Intelligent …, 2024 - americaspg.com
Medical care conveyance has been transformed by the Internet of Things (IoT's) combination
into wellbeing systems, which provides doctors and patients with continuous on-request …

EEG Signal Analysis for Emotional Classification

K Nanthini, M Pyingkodi… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Electroencephalography (EEG) uses electrodes to assess neuronal activity in various brain
areas. Emotion is a state that encompasses human feelings, thoughts, and behavior, and it …

Healthcare Monitoring and Analysis Using ThingSpeak IoT Platform: Capturing and Analyzing Sensor Data for Enhanced Patient Care

D Sivabalaselvamani, K Nanthini… - … in Osmotic Computing, 2024 - igi-global.com
Health monitoring systems are designed to transform patient care by providing continuous
monitoring and remote capabilities. Traditional healthcare often lacks constant monitoring …