scholarly journals A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection

2021 ◽  
pp. 116366
Author(s):  
Michele Scarpiniti ◽  
Sima Sarv Ahrabi ◽  
Enzo Baccarelli ◽  
Lorenzo Piazzo ◽  
Alireza Momenzadeh
Keyword(s):  
Disease Detection ◽  
Unsupervised Approach ◽  
Deep Denoising Autoencoders

A Review on Heart Disease Detection Techniques

2017 ◽  
Vol 7 (7) ◽  
pp. 395
Author(s):  
. Anika ◽  
Navpreet Kaur
Keyword(s):  
Machine Learning ◽  
Heart Disease ◽  
Review Paper ◽  
Vascular Diseases ◽  
Disease Detection ◽  
Automated Classification ◽  
Feature Extraction Method ◽  
Detection Techniques ◽  
Cardio Vascular ◽  
Public Domain Software

The paper exhibits a formal audit on early detection of heart disease which are the major cause of death. Computational science has potential to detect disease in prior stages automatically. With this review paper we describe machine learning for disease detection. Machine learning is a method of data analysis that automates analytical model building.Various techniques develop to predict cardiac disease based on cases through MRI was developed. Automated classification using machine learning. Feature extraction method using Cell Profiler and GLCM. Cell Profiler a public domain software, freely available is flourished by the Broad Institute's Imaging Platform and Glcm is a statistical method of examining texture .Various techniques to detect cardio vascular diseases.

Nanowire Sensors Characterization and Validation using Matlab Models for Disease Detection

2011 ◽  
Vol 6 (2) ◽  
pp. 55-62
Author(s):  
Ushaa Eswaran ◽  
◽  
M. Madhavi Latha ◽  
G. Madhusudhan Rao ◽  
◽  
...  
Keyword(s):  
Disease Detection ◽  
Nanowire Sensors

Crop Disease Detection in Image Processing Using MATLAB

2020 ◽  
Vol 24 (04) ◽  
pp. 2967-2973
Author(s):  
Archana P ◽  
Hari prabhu S ◽  
Mohammed safir A ◽  
Naveenraj K ◽  
Pravin kumar S
Keyword(s):  
Image Processing ◽  
Disease Detection ◽  
Crop Disease

Crop Disease Detection in Image Processing Using MATLAB

2020 ◽  
Vol 24 (04) ◽  
pp. 1698-1703
Author(s):  
Archana P ◽  
Hari prabhu S ◽  
Mohammed safir A ◽  
Naveenraj K ◽  
Pravin kumar S
Keyword(s):  
Image Processing ◽  
Disease Detection ◽  
Crop Disease

IoT PCR for Pandemic Disease Detection and Its Spread Monitoring

2019 ◽  
Author(s):  
Hanliang Zhu ◽  
Pavel Podesva ◽  
Xiaocheng Liu ◽  
Haoqing Zhang ◽  
Tomas Teply ◽  
...  
Keyword(s):  
Disease Detection
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