An IoT-fog-cloud integrated framework for real-time remote cardiovascular disease diagnosis

A Pati, M Parhi, M Alnabhan, BK Pattanayak… - Informatics, 2023 - mdpi.com
Recently, it has proven difficult to make an immediate remote diagnosis of any coronary
illness, including heart disease, diabetes, etc. The drawbacks of cloud computing …

Heartfog: Fog computing enabled ensemble deep learning framework for automatic heart disease diagnosis

A Pati, M Parhi, BK Pattanayak - Intelligent and Cloud Computing …, 2022 - Springer
Abstract Recently IoT, ie, Internet of Things, is gaining importance for various fields; e-
Healthcare is one of the IoT applications that can be used in develo** different kinds of …

Diagnose Diabetic Mellitus Illness Based on IoT Smart Architecture

A Pati, M Parhi, BK Pattanayak, D Singh… - Wireless …, 2022 - Wiley Online Library
Obtaining a quick remote diagnosis of heart disease has proven problematic in recent days.
To overcome such issues in e‐Healthcare systems, Internet of Things (IoT) applications …

Heart disease prediction using stacking model with balancing techniques and dimensionality reduction

A Noor, N Javaid, N Alrajeh, B Mansoor… - IEEE …, 2023 - ieeexplore.ieee.org
Heart disease is a serious worldwide health issue with wide-reaching effects. Since heart
disease is one of the leading causes of mortality worldwide, early detection is crucial …

[PDF][PDF] A Review of Machine Learning Techniques Used in the Prediction of Heart Disease

CS Chaithra, S Siddesha, VNM Aradhya… - Revue d'Intelligence …, 2024 - researchgate.net
Heart disease stands as a principal cause of death worldwide, and its early prediction is
essential for effective patient management and the reduction of healthcare expenditures. In …

Simulating Fog of Medical Things: Research Challenges and Opportunities

A Pati, A Panigrahi, M Parhi, BK Pattanayak… - IEEE …, 2024 - ieeexplore.ieee.org
Technology has a significant impact on medical applications at the current moment.
Contemporary computers are capable of processing a lot of patient medical records quickly …

An ensemble deep learning approach for Chronic kidney disease (CKD) prediction

A Pati, M Parhi, BK Pattanayak - AIP Conference Proceedings, 2023 - pubs.aip.org
A form of chronic disease-related kidney that causes a progressive decrease in kidney
function over time is Chronic kidney disease (CKD). The kidney's primary role is to filter …

Prevention of Phishing attacks using AI Algorithm

MF Ansari, A Panigrahi, G Jakka, A Pati… - 2022 2nd Odisha …, 2022 - ieeexplore.ieee.org
A particularly successful type of cybercrime that allows criminals to trick people and steal
crucial data is phishing. Phishing is currently one of the most common online scams …

ReCuRandom: A hybrid machine learning model for significant gene identification

DSK Nayak, A Pati, A Panigrahi, S Sahoo… - AIP Conference …, 2023 - pubs.aip.org
The method of evaluating the physical traits of living creatures by generating essential
proteins is known as gene expression. Translation and transcription are the two processes …

Smart farming based on deep learning approaches

SS Tripathy, N Tripathy, M Rath, A Pati… - 2022 2nd Odisha …, 2022 - ieeexplore.ieee.org
A novel idea called “smart farming” aims to increase the productivity and effectiveness of
agriculture by utilizing cutting-edge information technologies. Using the most recent …