scholarly journals A machine learning algorithm for early detection of heel deep tissue injuries based on a daily history of sub‐epidermal moisture measurements

2022 ◽  
Author(s):  
Maayan Lustig ◽  
Dafna Schwartz ◽  
Ruth Bryant ◽  
Amit Gefen
Keyword(s):  
Machine Learning ◽  
Early Detection ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Deep Tissue ◽  
History Of ◽  
Tissue Injuries

scholarly journals Accessing and applying molecular history

2015 ◽  
Author(s):  
Joshua G Stern ◽  
Eric A Gaucher
Keyword(s):  
Machine Learning ◽  
Molecular Evolution ◽  
Real World ◽  
Evolutionary History ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
History Of ◽  
Evolution And Medicine ◽  
Real World Problems

Studying the evolutionary history of life’s molecules - DNA, RNA, and protein - reveals nature-based solutions to real-world problems. We discuss an approach to applied molecular evolution that is well-known within the field but may be unfamiliar to a wider audience. Using a case study at the intersection of molecular evolution and medicine, we introduce the fundamental concepts of orthology and paralogy. We also explain a practical entry point to molecular evolution named STORI: Selectable Taxon Ortholog Retrieval Iteratively. STORI is a machine learning algorithm designed to clear a bottleneck that researchers encounter when studying evolution.

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

scholarly journals Accessing and applying molecular history

2015 ◽  
Author(s):  
Joshua G Stern ◽  
Eric A Gaucher
Keyword(s):  
Machine Learning ◽  
Molecular Evolution ◽  
Real World ◽  
Evolutionary History ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
History Of ◽  
Evolution And Medicine ◽  
Real World Problems

Studying the evolutionary history of life’s molecules - DNA, RNA, and protein - reveals nature-based solutions to real-world problems. We discuss an approach to applied molecular evolution that is well-known within the field but may be unfamiliar to a wider audience. Using a case study at the intersection of molecular evolution and medicine, we introduce the fundamental concepts of orthology and paralogy. We also explain a practical entry point to molecular evolution named STORI: Selectable Taxon Ortholog Retrieval Iteratively. STORI is a machine learning algorithm designed to clear a bottleneck that researchers encounter when studying evolution.

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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