Clinical Analysis of the Diagnostic Classification of Geriatric Disorders
Giacomo Patrizi (),
Gregorio Patrizi,
Luigi Cioccio and
Claudia Bauco
Additional contact information
Giacomo Patrizi: Università degli Studi “La Sapienza”
Gregorio Patrizi: Università degli Studi “La Sapienza”
Luigi Cioccio: ASL Frosinone
Claudia Bauco: Ospedale “G. De Bosis”
A chapter in Data Mining in Biomedicine, 2007, pp 231-258 from Springer
Abstract:
Abstract The aim of this chapter is to present a classification algorithm and its application to an initial set of 156 patients afflicted with dementia syndromes and classified by clinicians in the categories of probable Alzheimer, possible Alzheimer or vascular dementia pathologies. It will be shown that the diagnoses of dementia patients by this method is very accurate, and that the classification criteria can be transformed into suitable clinical factors, which can then be interpreted by clinicians. This formal implementation suggests that recent research on the general diagnosis of dementia can be confirmed.
Keywords: Linear Discriminant Analysis; Diagnostic Classification; Vascular Dementia; Clinical Analysis; Alport Syndrome (search for similar items in EconPapers)
Date: 2007
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:spochp:978-0-387-69319-4_14
Ordering information: This item can be ordered from
http://www.springer.com/9780387693194
DOI: 10.1007/978-0-387-69319-4_14
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().