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Machine Learning methods (ANNs (Single/Multi layer perceptron (Song,…
Machine Learning methods
Attribute ranking, find relevant and irrlevant features
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Decision Tree
Diagnosis support (protocol is decision tree) (Kappen, Wiegerinck, Akay , Neijt, van Beek),
if diagnostic decision not included in guidelines: diagnostic support
CART (Classification and Regression Tree) (K.Srinivas et al, 2010) #
ID3 (Iterative Dichotomized 3) (K.Srinivas et al, 2010)
C 4.5 Algorithm (developed from ID3)
--> builds decision tree from set of training data(hear disease)
using the concept of information entropy (V. Manikantan & S. Latha - 2013)
--> example data: age, sex, blood pressure, cholesterol, blood sugar, heart rate
Bayesian Analysis
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DRG classification(Gartner et al.) and prediction of DRGs from day one for resource allocation
Data: 16.000 hospital records, 350 bed hospital, primary diagnosis, clinical procedures and admission info
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ANNs
Single/Multi layer perceptron (Song, Mitnitski, 2004)
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Backpropagation (K.Srinivas et al, 2010)
Signal analysis (Sordo, 2002)
Image analysis (pattern recognition) (Sordo,2002, Kaur and Wasan)
Medical diagnosis/ prediction (Sordo,2002, Kaur and Wasan)
K-means Clustering
(V. Manikantan & S. Latha - 2013)
Uses k-means clustering for heart disease data with attributes like: sex, age, blood pressure, blood sugar, cholesterol, heart rate ...)