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Case-based prediction in experimental medical studies.

Abstract：

:Case-based approaches predict the behaviour of dynamic systems by analysing a given experimental setting in the context of others. To select similar cases and to control adaptation of cases, they employ general knowledge. If that is neither available nor inductively derivable, the knowledge implicit in cases can be utilized for a case-based ranking and adaptation of similar cases. We introduce the system OASES and its application to medical experimental studies to demonstrate this approach.

journal_name

Artif Intell Med

journal_title

Artificial intelligence in medicine

authors

Seitz A,Uhrmacher AM,Damm D

doi

10.1016/s0933-3657(98)00057-8

subject

Has Abstract

pub_date

1999-03-01 00:00:00

pages

255-73

issue

3

eissn

0933-3657

issn

1873-2860

pii

S0933365798000578

journal_volume

15

pub_type

杂志文章

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