Abstract:
Nowadays, it is increasing usage of data
mining techniques on medical data for discovering
useful trends and patterns that are used in
diagnosis and decision making. Decision Tree is
one of the successful data mining techniques used
for predicting medical diagnosis. Human experts
in medical field are frequently in great demand.
Health care system giving health information may
help whether the patient’s symptom is serious or
not.In this paper, C4.5 algorithm is used to
classify the lung diseases in the implementation of
health care system.The dataset used in this system
is the lung diseases dataset containing 3601
training data records. Accuracy comparison with
other decision tree algorithms such as ID3 and
CART has been implemented. Among these
algorithms, C4.5 gives better accuracy than ID3
and CART on lung diseases dataset.
