Behavior Determinant Based Cervical Cancer Early Detection with Machine Learning Algorithm

2016 ◽  
Vol 22 (10) ◽  
pp. 3120-3123 ◽  
Author(s):  
. Sobar ◽  
Rizanda Machmud ◽  
Adi Wijaya
Keyword(s):  
Machine Learning ◽  
Cervical Cancer ◽  
Early Detection ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Cancer Early Detection

scholarly journals Development of a machine learning algorithm for early detection of opioid use disorder

2020 ◽  
Vol 8 (6) ◽  
Author(s):  
Zvi Segal ◽  
Kira Radinsky ◽  
Guy Elad ◽  
Gal Marom ◽  
Moran Beladev ◽  
...  
Keyword(s):  
Machine Learning ◽  
Early Detection ◽  
Learning Algorithm ◽  
Opioid Use Disorder ◽  
Machine Learning Algorithm ◽  
Opioid Use

Machine Learning Algorithm for Gait Analysis and Classification on Early Detection of Parkinson

2020 ◽  
Vol 4 (6) ◽  
pp. 1-4 ◽  
Author(s):  
Rami Alkhatib ◽  
Mohamad O. Diab ◽  
Christophe Corbier ◽  
Mohamed El Badaoui
Keyword(s):  
Machine Learning ◽  
Early Detection ◽  
Gait 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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