Automatic oriental medical diagnosis via BYY learning based discrete independent factor analysis

Authors:
Jeong-Yon Shim;Lei Xu
Affiliations:
Division of General Studies, Computer Science, Kangnam University, YongIn Si, KyeongKi Do, Korea;Dept. of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China
Venue:
ICOSSSE'05 Proceedings of the 4th WSEAS/IASME international conference on System science and simulation in engineering
Year:
2005

Citing 2
Cited 0

Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)

Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination

IEEE Transactions on Neural Networks

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Abstract

An oriental medical diagnosis is featured by inferring hidden causal factors of diseases from observed symptoms. This paper introduces a computer aided diagnosis in help of a linear independent factor model that interprets the observed symptoms as generated from hidden independent causes in term of discrete variables. The model is computed by algorithms obtained from the BYY harmony learning.