z-logo
open-access-imgOpen Access
The Reference Model for Disease Progression
Author(s) -
Jacob Barhak
Publication year - 2012
Publication title -
proceedings of the python in science conferences
Language(s) - English
Resource type - Conference proceedings
ISSN - 2575-9752
DOI - 10.25080/majora-54c7f2c8-007
Subject(s) - computer science , python (programming language) , scalability , reference model , data modeling , data mining , artificial intelligence , programming language , machine learning , information retrieval , software engineering , database
The Reference Model for disease progression is based on a modeling framework written in Python. It is a prototype that demonstrates the use of computing power to aid in chronic disease forecast. The model uses references to publicly available data as a source of information, hence the name for the model. The Reference Model also holds this name since it is designed to be used by other models as a reference. The model uses parallel processing and computing power to create a competition among hypothesis of disease progression. The system runs on a multi core machine and is scalable to a

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom