Data Mining Method for Health Data: A Preliminary Study

カテゴリ: 国際会議

論文No: PS-12

グループ名: ACIS2015

発行日: 2015/10/15

著者名(英語): Neesha Jothi(Universiti Sains Malaysia), Nur’ Aini Abdul Rashid (Universiti Sains Malaysia),Wahidah Husain(Universiti Sains Malaysia)

キーワード: Data mining, healthcare, predictive

要約(英語): This paper present our preliminary study on data mining methods for health data. We study various data mining methods works from 2005 until 2015. The data mining techniques for predictive models will be studied thoroughly to identify the most suitable prediction method and algorithm using the health data. The identified prediction algorithm will be enhanced and hybrid to obtain the best accuracy on the dataset. The constructed prediction algorithm will then be benchmarked against standard data mining algorithms.

原稿種別: 英語

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