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
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