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Intelligent systems in medical diagnosis

Name: Intelligent systems in medical diagnosis
Creator: Bojan Novak
Keywords: 0301 basic medicine, Reproducibility of Results, Breast Neoplasms, Expert Systems, Decision Support Systems, Clinical, 3. Good health, Diagnosis, Differential, 03 medical and health sciences, Breast Diseases, 0302 clinical medicine

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 1999Publisher:IOS Press

Authors: Bojan Novak;

doi: 10.3233/978-1-60750-912-7-700

pmid: 10724983

Intelligent systems in medical diagnosis

- Summary
- Subjects
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Abstract

From an intelligent system for a computer supported medical diagnosis it is expected to achieve high accuracy and ability to draw conclusions from a small data sets. Medical practice could takes many years to generate a large database. A new mathematical method that is able to learn on a small data set is presented.

Related Organizations

University of Maribor
Slovenia

Keywords

Reproducibility of Results, Breast Neoplasms, Expert Systems, Decision Support Systems, Clinical, Diagnosis, Differential, Breast Diseases, Artificial Intelligence, Humans, Female, Diagnosis, Computer-Assisted, Algorithms

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average