Chapter title |
A computer-aided diagnosis system for geriatrics assessment and frailty evaluation.
|
---|---|
Chapter number | 5 |
Book title |
GeNeDis 2014
|
Published in |
Advances in experimental medicine and biology, November 2014
|
DOI | 10.1007/978-3-319-09012-2_5 |
Pubmed ID | |
Book ISBNs |
978-3-31-909011-5, 978-3-31-909012-2
|
Authors |
Vairaktarakis C, Tsiamis V, Soursou G, Lekkas F, Nikolopoulou M, Vasileiadou E, Premtsis K, Alexiou A, Charalampos Vairaktarakis, Vasilis Tsiamis, Georgia Soursou, Filippos Lekkas, Markella Nikolopoulou, Emmanouilia Vasileiadou, Konstantinos Premtsis, Athanasios Alexiou, Vairaktarakis, Charalampos, Tsiamis, Vasilis, Soursou, Georgia, Lekkas, Filippos, Nikolopoulou, Markella, Vasileiadou, Emmanouilia, Premtsis, Konstantinos, Alexiou, Athanasios |
Abstract |
It is a common knowledge that frailty is a condition associated with getting older, and it has been considered as highly prevalent as far as falls, disability, hospitalization, and mortality are concerned. At the present time a standardized definition has not yet been established. With that in mind and for frailty being of a vital importance as a term identifying geriatric symptoms, we pursued to embody the well-known 70-scale CSHA Frailty index of the Canadian Study of Health and Aging in a Clinical Decision Support System, after categorizing and expanding it. The proposed categorization in this chapter can be helpful for usage by patients and their relatives, care givers, and medical doctors. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Unknown | 35 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 25% |
Student > Master | 6 | 17% |
Student > Ph. D. Student | 5 | 14% |
Other | 4 | 11% |
Student > Doctoral Student | 3 | 8% |
Other | 5 | 14% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 28% |
Nursing and Health Professions | 5 | 14% |
Engineering | 5 | 14% |
Computer Science | 4 | 11% |
Psychology | 3 | 8% |
Other | 4 | 11% |
Unknown | 5 | 14% |