EconPapers    
Economics at your fingertips  
 

Artificial Intelligence in Medicine, Cognitive Science and Epidemiological Models

Umberto Giani
Additional contact information
Umberto Giani: University of Naples, Dipartimento di Scienze Relazionali e della Comunicazione 2nd Faculty of Medicine

A chapter in Biomathematics and Related Computational Problems, 1988, pp 659-667 from Springer

Abstract: Abstract Mathematical epidemiological models do not take into account that diagnostic reasoning plays a key role in Statistical Medical Data(SMD) Production. As a consequence, discrepancies between model-based predictions and statistical data are regarded merely as noise. In this paper an analysis of the connections between diagnostic reasoning with both patients’ behavior and SMD production is carried out by taking into account some results of Artificial Intelligence and Cognitive Science in Medicine. An overall model is suggested which can account for some aspects of temporal and/or geographical variation of the number of diseases.

Keywords: Expert System; Epidemiological Model; Diagnostic Reasoning; Diagnostic hypothesiS; Abductive Inference (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-009-2975-3_59

Ordering information: This item can be ordered from
http://www.springer.com/9789400929753

DOI: 10.1007/978-94-009-2975-3_59

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-94-009-2975-3_59