A Block Chain Based Health Care system for Pneumonia Disease Prediction

Manjula, G. and Kalyani, N. and Vijitha, S. and Packialatha, A. and Preethi, J. (2022) A Block Chain Based Health Care system for Pneumonia Disease Prediction. JOURNAL OF ALGEBRAIC STATISTICS, 13 (3). ISSN 1309-3452

[thumbnail of document.pdf] Text
document.pdf

Download (344kB)

Abstract

A Block chain network is used in the healthcare system to preserve and exchange patient data through hospitals,
diagnostic laboratories, pharmacy firms, and physicians. Block chain applications can accurately identify severe
mistakes and even dangerous ones in the medical field. This paper proposes efficient algorithm are used to detect
the pneumonia in early stage. In this study, we successfully classified Block chain-based secure healthcare services
for disease prediction in fog computing. Pneumonia is an infection that inflames the air sacs in one or both lungs.
The air sacs may fill with fluid or pus, causing cough with phlegm or pus, fever, chills, and difficulty breathing.
A variety of organisms, including bacteria, viruses and fungi, can cause pneumonia. Early detection of pneumonia
is very important to avoid death rate. so many machine learning chest infection in chest X-ray images using deep
leaning based on CNN with an overall accuracy of 99%

Item Type: Article
Subjects: Computer Science Engineering > Deep Learning
Domains: Computer Science Engineering
Depositing User: Mr Prabakaran Natarajan
Date Deposited: 05 Dec 2025 04:06
Last Modified: 05 Dec 2025 04:06
URI: https://ir.vistas.ac.in/id/eprint/11203

Actions (login required)

View Item
View Item