Different stages of disease detection in squash plant based on machine learning

2022 ◽  
Vol 47 (1) ◽  
Author(s):  
R Ganesh Babu ◽  
C Chellaswamy
Keyword(s):  
Machine Learning ◽  
Disease Detection

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.

A Review of Machine Learning Methodologies for Dental Disease Detection

2020 ◽  
Author(s):  
Gautam Chitnis ◽  
Vidhi Bhanushali ◽  
Aayush Ranade ◽  
Tejasvini Khadase ◽  
Vaishnavi Pelagade ◽  
...  
Keyword(s):  
Machine Learning ◽  
Disease Detection ◽  
Dental Disease
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