Optimum machine learning algorithm selection for forecasting vegetation indices: MODIS NDVI & EVI

2021 ◽  
Vol 23 ◽  
pp. 100582
Author(s):  
Bishal Roy
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Vegetation Indices ◽  
Machine Learning Algorithm ◽  
Algorithm Selection ◽  
Modis Ndvi ◽  
Selection For

Machine Learning Algorithm Selection for a Clinical Decision Support System Based on a Multicriteria Method

2021 ◽  
pp. 1002-1010
Author(s):  
Galo Enrique Valverde Landivar ◽  
Jonathan Andrés España Arambulo ◽  
Miguel Angel Quiroz Martinez ◽  
Maikel Yelandi Leyva Vazquez
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Decision Support System ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Learning Algorithm ◽  
Clinical Decision ◽  
Machine Learning Algorithm ◽  
Algorithm Selection

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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