Learning First-Order Rules to Handle Medical Data

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概要

• 論文の詳細を見る

• Since information systems are used in large hospitals, a large amount of medical data is provided to physicians which often constitutes an information overload. Consequently, computers must extract useful information from such data. The most difficult issue in handling medical data is that included time-series data have irregularities. Here, we describe handling this type of data using a first order logic learning system named DAMS.

• 国立情報学研究所の論文
• 2001-03-30

著者

• Numao Masayuki

  Tokyo Institute Of Technology

• Ichise Ryutaro

  National Institute of Informatics

• Ichise R

  National Inst. Informatics Tokyo Jpn

• Ichise Ryutaro

  National Inst. Of Informatics

関連論文

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