scholarly journals EPV097/#140 Application of a machine learning algorithm to identify predictors of recurrence and recurrence free survival in high grade endometrial cancer

2021 ◽  
Author(s):  
S Piedimonte ◽  
T Feigenberg ◽  
B Cormier ◽  
J Kwon ◽  
W Gotlieb ◽  
...  
Keyword(s):  
Machine Learning ◽  
Endometrial Cancer ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
High Grade ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Predictors Of Recurrence

Prediction of endometrial cancer recurrence by using a novel machine learning algorithm

2020 ◽  
Vol 159 ◽  
pp. 207-208
Author(s):  
O. Houri ◽  
Y. Gil ◽  
O. Raban ◽  
E. Yeoshoua ◽  
G. Sabah ◽  
...  
Keyword(s):  
Machine Learning ◽  
Endometrial Cancer ◽  
Learning Algorithm ◽  
Cancer Recurrence ◽  
Machine Learning Algorithm

scholarly journals A novel machine learning algorithm to predict disease free survival after resection of hepatocellular carcinoma

2020 ◽  
Vol 8 (7) ◽  
pp. 434-434 ◽  
Author(s):  
Markus Bo Schoenberg ◽  
Julian Nikolaus Bucher ◽  
Dominik Koch ◽  
Nikolaus Börner ◽  
Sebastian Hesse ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hepatocellular Carcinoma ◽  
Learning Algorithm ◽  
Disease Free Survival ◽  
Machine Learning Algorithm ◽  
Free Survival ◽  
Disease Free

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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