Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service

S Aminizadeh, A Heidari, M Dehghan, S Toumaj… - Artificial Intelligence in …, 2024 - Elsevier
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
shaping community health and overall quality of life. Traditional healthcare methods, often …

Hybrid optimization enabled deep learning-based ensemble classification for heart disease detection

R Jayasudha, C Suragali, JT Thirukrishna… - Signal, Image and Video …, 2023 - Springer
Heart diseases (HD) in humans are the most common cause of death. In the current global
environment, the early detection of HD is a challenging process. The goal of this work is to …

Facial matching and reconstruction techniques in identification of missing person using deep learning

R Annamalai, S Sudharson… - 2023 IEEE 4th Annual …, 2023 - ieeexplore.ieee.org
The number of missing person cases has dramatically increased nowadays, leaving loved
ones with a lot of unanswered questions. Police inquiries and public announcements are …

The Smart Analysis of Machine Learning-Based Diagnostics Model of Cardiovascular Diseases in Patients

J Mistry, SC Patil, B Muniandi, N Jiwani… - … IEEE Technology & …, 2023 - ieeexplore.ieee.org
An accurate way to identify and diagnose cardiovascular diseases in patients is to create a
machine learning-based diagnostic tool called the Smart Analysis of Machine Learning …

Bl-Boost: A blockchain-based XG-Boost EHR scheme in Healthcare 5.0 ecosystems

V Deshmukh, S Pathak… - International Journal of …, 2024 - journals.uob.edu.bh
Healthcare 5.0 focuses on a personalized patient-centric approach, and combines
advanced technologies like artificial intelligence (AI), blockchain, Internet-of-Things (IoT) …

LSTM Based Monophonic Piano Melody Synthesis

R Annamalai, S Sudharson, T Pratap… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
Music composition has benefited from advancements in artificial intelligence (AI). This study
explores AI-driven melody generation using machine learning techniques, specifically the …

Optimal machine learning–based data classification on Internet of medical things environment

P Maheswaravenkatesh, AN Arun… - Securing Next-Generation …, 2024 - Elsevier
Internet of medical things (IoMT) technology has recently been applied in the healthcare
system to improve service quality. The IoMT is indispensable in minimizing the death rate by …

Automating Machine Learning Model Development: An OperationalML Approach with PyCARET and Streamlit

R Annamalai, S Deena… - 2023 Innovations in …, 2023 - ieeexplore.ieee.org
OperationalML (Automatic Machine Learning) refers to tools and techniques that automate
various machine-learning model development aspects, including data preparation, feature …

Detection and Segmentation of Skull Fractures via CNN and U-Net Hybrid Model using Computed Tomography Images

T Kodavati, RP Kumar - 2023 Global Conference on Information …, 2023 - ieeexplore.ieee.org
Computer tomography (CT) are now widely used for the diagnosis of head various head
injuries. A CT scan slice has a lot of data that can't always be thoroughly analyzed quickly …

Efficient IoT-based heart disease prediction framework with Weight Updated Trans-Bidirectional Long Short Term Memory-Gated Recurrent Unit

K Sasirekha, D Asha, P Sivaganga, R Harini - Web Intelligence - content.iospress.com
The integrated system has generated numerous features for the users, like as identifying
heart disease by its symptoms, forwarding the information to the doctors regarding the phase …