Development of a Machine Learning Algorithm to Predict Nonroutine Discharge Following Unicompartmental Knee Arthroplasty

2020 ◽  
Author(s):  
Yining Lu ◽  
Zain M. Khazi ◽  
Avinesh Agarwalla ◽  
Brian Forsythe ◽  
Michael J. Taunton
Keyword(s):  
Machine Learning ◽  
Knee Arthroplasty ◽  
Unicompartmental Knee Arthroplasty ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Unicompartmental Knee

scholarly journals A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty

2021 ◽  
Vol 10 ◽  
pp. 135-143
Author(s):  
Sai K. Devana ◽  
Akash A. Shah ◽  
Changhee Lee ◽  
Andrew R. Roney ◽  
Mihaela van der Schaar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Universal Machine ◽  
Total Knee

Transfusion after total knee arthroplasty can be predicted using the machine learning algorithm

2019 ◽  
Vol 28 (6) ◽  
pp. 1757-1764 ◽  
Author(s):  
Changwung Jo ◽  
Sunho Ko ◽  
Woo Cheol Shin ◽  
Hyuk-Soo Han ◽  
Myung Chul Lee ◽  
...  
Keyword(s):  
Machine Learning ◽  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Total Knee

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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