%0 Journal Article %1 noauthororeditor %A Madadipouya, Kasra %D 2015 %J Advanced Computational Intelligence: An International Journal (ACII) %K C4.5 Classification Data Decision ID3 Medicine Tree mining %N 3 %P 7 %R 10.5121/acii.2015.2304 %T A New Decision Tree Method for Data Mining in Medicine %U http://airccse.org/journal/acii/papers/2315acii04.pdf %V 2 %X Today, enormous amount of data is collected in medical databases. These databases may contain valuable information encapsulated in nontrivial relationships among symptoms and diagnoses. Extracting such dependencies from historical data is much easier to done by using medical systems. Such knowledge can be used in future medical decision making. In this paper, a new algorithm based on C4.5 to mind data for medince applications proposed and then it is evaluated against two datasets and C4.5 algorithm in terms of accuracy.

@article{noauthororeditor, abstract = {Today, enormous amount of data is collected in medical databases. These databases may contain valuable information encapsulated in nontrivial relationships among symptoms and diagnoses. Extracting such dependencies from historical data is much easier to done by using medical systems. Such knowledge can be used in future medical decision making. In this paper, a new algorithm based on C4.5 to mind data for medince applications proposed and then it is evaluated against two datasets and C4.5 algorithm in terms of accuracy. }, added-at = {2017-12-26T22:47:09.000+0100}, author = {Madadipouya, Kasra}, biburl = {https://www.bibsonomy.org/bibtex/269ca9b035e6ca5937393d576d897bca6/janakirob}, doi = {10.5121/acii.2015.2304}, interhash = {fdc7a22983cf089cf89f6d3cfaba1155}, intrahash = {69ca9b035e6ca5937393d576d897bca6}, issn = {2454 - 3934}, journal = {Advanced Computational Intelligence: An International Journal (ACII)}, keywords = {C4.5 Classification Data Decision ID3 Medicine Tree mining}, language = {English}, month = {July}, number = 3, pages = 7, timestamp = {2017-12-26T22:47:09.000+0100}, title = {A New Decision Tree Method for Data Mining in Medicine }, url = {http://airccse.org/journal/acii/papers/2315acii04.pdf}, volume = 2, year = 2015 }