Heart disease prediction using python random forest algorithm
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The only work we found on disease prediction using NIS data was presented by Davis et al. , in which clustering and collaborative filtering was used to predict individual disease risks based on medical history. In this work we provided extensive proof that RF can be successfully used for disease prediction in conjunction with the HCUP dataset.
Cited by: 251
Publish Year: 2011
Author: Mohammed Khalilia, Sounak Chakraborty
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