Machine learning algorithm for retinal image analysis

2016 ◽  
Author(s):  
Santhakumar R ◽  
Megha Tandur ◽  
E R Rajkumar ◽  
Geetha K S ◽  
Girish Haritz ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Analysis ◽  
Retinal Image ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Retinal Image Analysis

Image Analysis and Classification of Flower Using Machine Learning Algorithm for Creating Organic Color

2019 ◽  
Vol 7 (3) ◽  
pp. 1053-1058
Author(s):  
Rupesh Bante ◽  
Dipak Nakhate ◽  
Praful Gade ◽  
Saurabh Tagde ◽  
Swati Dixit ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Analysis ◽  
Learning Algorithm ◽  
Machine Learning Algorithm

Machine Learning Algorithm to Predict Early Complications after Brain Tumor Surgery

2018 ◽  
Author(s):  
C.H.B. van Niftrik ◽  
F. van der Wouden ◽  
V. Staartjes ◽  
J. Fierstra ◽  
M. Stienen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Brain Tumor ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Tumor Surgery ◽  
Early Complications ◽  
Brain Tumor Surgery

Feature extraction and prediction of Dengue Outbreaks

2020 ◽  
pp. 216-222
Author(s):  
Kunal Parikh ◽  
Tanvi Makadia ◽  
Harshil Patel
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Developing Countries ◽  
Feature Extraction ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Health Concerns ◽  
The World ◽  
Dengue Outbreaks

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.

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