Estimation of Markov transition probabilities via clustering: An application to Long Term Care

Gracinda Rita Diogo Guerreiro; Manuel Leote Esquível; Matilde Oliveira; Susana Nascimento; Hugo Lopes

Estimation of Markov transition probabilities via clustering: An application to Long Term Care

Gracinda Rita Diogo Guerreiro, Manuel Leote Esquível, Matilde Oliveira, Susana Nascimento, Hugo Lopes

Research output: Contribution to conference › Abstract › peer-review

Abstract

We report on the clustering analysis of a database of continuing care
in 2015 in Portugal, rich of 120 000 records with 70 variables each.
Our main goal was to recognize a small number of dependence states
in the general population and to estimate transition probabilities between
every pair of states.

Original language	English
Pages	85-90
Number of pages	6
Publication status	Published - 2017
Event	Symposium on Big Data in Finance, Retail and Commerce - Jupiter Lisboa Hotel, Libon, Portugal Duration: 2 Nov 2017 → 3 Nov 2017 http://symposiumbigdata2017.weebly.com/

Conference

Conference	Symposium on Big Data in Finance, Retail and Commerce
Country/Territory	Portugal
City	Libon
Period	2/11/17 → 3/11/17
Internet address	http://symposiumbigdata2017.weebly.com/

Keywords

Clustering
K-medoids
Markov transition probabilities
Long Term Care

Cite this

@conference{db388eb3f30447f5b4a949a57e00eb54,

title = "Estimation of Markov transition probabilities via clustering: An application to Long Term Care",

abstract = "We report on the clustering analysis of a database of continuing carein 2015 in Portugal, rich of 120 000 records with 70 variables each.Our main goal was to recognize a small number of dependence statesin the general population and to estimate transition probabilities betweenevery pair of states.",

keywords = "Clustering, K-medoids, Markov transition probabilities , Long Term Care",

author = "Guerreiro, {Gracinda Rita Diogo} and Esqu{\'i}vel, {Manuel Leote} and Matilde Oliveira and Susana Nascimento and Hugo Lopes",

note = "Sem PDF.; Symposium on Big Data in Finance, Retail and Commerce ; Conference date: 02-11-2017 Through 03-11-2017",

year = "2017",

language = "English",

pages = "85--90",

url = "http://symposiumbigdata2017.weebly.com/",

}

TY - CONF

T1 - Estimation of Markov transition probabilities via clustering

T2 - Symposium on Big Data in Finance, Retail and Commerce

AU - Guerreiro, Gracinda Rita Diogo

AU - Esquível, Manuel Leote

AU - Oliveira, Matilde

AU - Nascimento, Susana

AU - Lopes, Hugo

N1 - Sem PDF.

PY - 2017

Y1 - 2017

N2 - We report on the clustering analysis of a database of continuing carein 2015 in Portugal, rich of 120 000 records with 70 variables each.Our main goal was to recognize a small number of dependence statesin the general population and to estimate transition probabilities betweenevery pair of states.

AB - We report on the clustering analysis of a database of continuing carein 2015 in Portugal, rich of 120 000 records with 70 variables each.Our main goal was to recognize a small number of dependence statesin the general population and to estimate transition probabilities betweenevery pair of states.

KW - Clustering

KW - K-medoids

KW - Markov transition probabilities

KW - Long Term Care

M3 - Abstract

SP - 85

EP - 90

Y2 - 2 November 2017 through 3 November 2017

ER -

Estimation of Markov transition probabilities via clustering: An application to Long Term Care

Abstract

Conference

Keywords

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Cite this