Search: WFRF:(Plagianakos Vassilis P.) >
A divisive hierarch...
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies : the ATHLOS project
-
Barmpas, Petros (author)
-
Tasoulis, Sotiris (author)
-
Vrahatis, Aristidis G. (author)
-
show more...
-
Georgakopoulos, Spiros V. (author)
-
Anagnostou, Panagiotis (author)
-
Prina, Matthew (author)
-
Ayuso-Mateos, José Luis (author)
-
Bickenbach, Jerome (author)
-
Bayes, Ivet (author)
-
Bobak, Martin (author)
-
Caballero, Francisco Félix (author)
-
Chatterji, Somnath (author)
-
Egea-Cortés, Laia (author)
-
García-Esquinas, Esther (author)
-
Leonardi, Matilde (author)
-
Koskinen, Seppo (author)
-
- Koupil, Ilona (author)
- Stockholms universitet,Centrum för forskning om ojämlikhet i hälsa (CHESS),Karolinska Institutet, Sweden
-
Paja̧k, Andrzej (author)
-
Prince, Martin (author)
-
Sanderson, Warren (author)
-
Scherbov, Sergei (author)
-
Tamosiunas, Abdonas (author)
-
Galas, Aleksander (author)
-
Haro, Josep Maria (author)
-
Sanchez-Niubo, Albert (author)
-
Plagianakos, Vassilis P. (author)
-
Panagiotakos, Demosthenes (author)
-
show less...
-
(creator_code:org_t)
- 2022-04-18
- 2022
- English.
-
In: Health Information Science and Systems. - : Springer Science and Business Media LLC. - 2047-2501. ; 10:1
- Related links:
-
https://urn.kb.se/re...
-
show more...
-
https://doi.org/10.1...
-
http://kipublication...
-
show less...
Abstract
Subject headings
Close
- The ATHLOS cohort is composed of several harmonized datasets of international groups related to health and aging. As a result, the Healthy Aging index has been constructed based on a selection of variables from 16 individual studies. In this paper, we consider additional variables found in ATHLOS and investigate their utilization for predicting the Healthy Aging index. For this purpose, motivated by the volume and diversity of the dataset, we focus our attention upon data clustering, where unsupervised learning is utilized to enhance prediction power. Thus we show the predictive utility of exploiting hidden data structures. In addition, we demonstrate that imposed computation bottlenecks can be surpassed when using appropriate hierarchical clustering, within a clustering for ensemble classification scheme, while retaining prediction benefits. We propose a complete methodology that is evaluated against baseline methods and the original concept. The results are very encouraging suggesting further developments in this direction along with applications in tasks with similar characteristics. A straightforward open source implementation for the R project is also provided (https://github.com/Petros-Barmpas/HCEP).
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Clustering
- Prediction enhancement
- ATHLOS cohort
- Ensemble methods
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database
- By the author/editor
-
Barmpas, Petros
-
Tasoulis, Sotiri ...
-
Vrahatis, Aristi ...
-
Georgakopoulos, ...
-
Anagnostou, Pana ...
-
Prina, Matthew
-
show more...
-
Ayuso-Mateos, Jo ...
-
Bickenbach, Jero ...
-
Bayes, Ivet
-
Bobak, Martin
-
Caballero, Franc ...
-
Chatterji, Somna ...
-
Egea-Cortés, Lai ...
-
García-Esquinas, ...
-
Leonardi, Matild ...
-
Koskinen, Seppo
-
Koupil, Ilona
-
Paja̧k, Andrzej
-
Prince, Martin
-
Sanderson, Warre ...
-
Scherbov, Sergei
-
Tamosiunas, Abdo ...
-
Galas, Aleksande ...
-
Haro, Josep Mari ...
-
Sanchez-Niubo, A ...
-
Plagianakos, Vas ...
-
Panagiotakos, De ...
-
show less...
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
-
MEDICAL AND HEAL ...
-
and Health Sciences
-
and Public Health Gl ...
-
- NATURAL SCIENCES
-
NATURAL SCIENCES
-
and Computer and Inf ...
-
and Computer Science ...
- Articles in the publication
-
Health Informati ...
- By the university
-
Stockholm University
-
Karolinska Institutet