Amanote Research
Register
Sign In
Using Machine Learning to Populate a Markov Model by Mining Big Data Directly From Hospital Ehrs – An Application to Dynamically Predict Hospital-Acquired Pressure Ulcers
Value in Health
- United Kingdom
doi 10.1016/j.jval.2015.09.2582
Full Text
Open PDF
Abstract
Available in
full text
Categories
Medicine
Health Policy
Public Health
Occupational Health
Environmental
Date
November 1, 2015
Authors
W Padula
MB Makic
Z Epstein
J Gemmell
MK Mishra
D Meltzer
Publisher
Elsevier BV
Related search
Hospital-Acquired Pressure Ulcers in Spinal Cord Injured Patients: Time to Occur, Time Until Closure and Risk Factors
Spinal Cord
Medicine
Neurology
Rehabilitation
An Efficient Model for Predicting Student Dropout Using Data Mining and Machine Learning Techniques
International Journal of Innovative Technology and Exploring Engineering
Mechanics of Materials
Electronic Engineering
Civil
Structural Engineering
Electrical
Computer Science
Economic Evaluations of Strategies to Prevent Hospital-Acquired Pressure Injuries
Advances in Skin and Wound Care
Dermatology
Specialized Nursing
Advanced
A Survey on Disease Prediction by Machine Learning Using Big Data Analytics
International Journal for Research in Applied Science and Engineering Technology
Machine Learning Approaches to Predict Lupus Disease Activity From Gene Expression Data
Scientific Reports
Multidisciplinary
Medical Big Data Analytics Using Machine Learning Algorithms
International Journal of Innovative Technology and Exploring Engineering
Mechanics of Materials
Electronic Engineering
Civil
Structural Engineering
Electrical
Computer Science
Designing Machine Learning Workflows With an Application to Topological Data Analysis
PLoS ONE
Multidisciplinary
Machine Learning in Big Data
International Journal of Advances in Applied Sciences
Disease Prognosis by Machine Learning Over Big Data From Healthcare Communities
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
