Streamlining a Transplantation Survival Prediction Program with a RDF Triplestore
Medved, Dennis LU
; Nilsson, Johan
LU
and Nugues, Pierre
LU
(2013)
9th International Conference on Data Integration in the Life Sciences
- Abstract
- In this paper, we describe the conversion of a heart trans-
plantation dataset in the RDF format and its application in a survival
prediction program. The International Society for Heart & Lung Trans-
plantation (ISHLT) maintains a registry of heart transplantations that
it gathers from operations performed worldwide. The US United Net-
work for Organ Sharing (UNOS) and the Scandinavian Scandiatrans-
plant are contributors of this registry although they use different data
models. We designed a unified graph representation covering the three
data models and we converted the ISHLT tables into RDF triples. We
used the resulting triplestore as input to a... (More) - In this paper, we describe the conversion of a heart trans-
plantation dataset in the RDF format and its application in a survival
prediction program. The International Society for Heart & Lung Trans-
plantation (ISHLT) maintains a registry of heart transplantations that
it gathers from operations performed worldwide. The US United Net-
work for Organ Sharing (UNOS) and the Scandinavian Scandiatrans-
plant are contributors of this registry although they use different data
models. We designed a unified graph representation covering the three
data models and we converted the ISHLT tables into RDF triples. We
used the resulting triplestore as input to a survival prediction program
for transplanted patients [3, 2]. Recipient and donor properties are essen-
tial to predict the mortality or survival of the patients. In contrast with
the manual techniques we used to extract data from the tabulated files,
the RDF triplestore enables us to experiment quickly and automatically
with combinations of features that influence most the survival that we
will demonstrate at the conference. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4173432
- author
- Medved, Dennis
LU
; Nilsson, Johan
LU
and Nugues, Pierre
LU
- organization
- publishing date
- 2013
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- RDF triplestore, transplantation data set, feature sets
- pages
- 4 pages
- conference name
- 9th International Conference on Data Integration in the Life Sciences
- conference location
- Montreal, Qc, Canada
- conference dates
- 2013-07-11
- language
- English
- LU publication?
- yes
- id
- 286311d6-77a7-4853-8cba-1f34006b3305 (old id 4173432)
- date added to LUP
- 2016-04-04 14:03:42
- date last changed
- 2021-09-20 19:07:19
@misc{286311d6-77a7-4853-8cba-1f34006b3305,
abstract = {{In this paper, we describe the conversion of a heart trans-<br/><br>
plantation dataset in the RDF format and its application in a survival<br/><br>
prediction program. The International Society for Heart & Lung Trans-<br/><br>
plantation (ISHLT) maintains a registry of heart transplantations that<br/><br>
it gathers from operations performed worldwide. The US United Net-<br/><br>
work for Organ Sharing (UNOS) and the Scandinavian Scandiatrans-<br/><br>
plant are contributors of this registry although they use different data<br/><br>
models. We designed a unified graph representation covering the three<br/><br>
data models and we converted the ISHLT tables into RDF triples. We<br/><br>
used the resulting triplestore as input to a survival prediction program<br/><br>
for transplanted patients [3, 2]. Recipient and donor properties are essen-<br/><br>
tial to predict the mortality or survival of the patients. In contrast with<br/><br>
the manual techniques we used to extract data from the tabulated files,<br/><br>
the RDF triplestore enables us to experiment quickly and automatically<br/><br>
with combinations of features that influence most the survival that we<br/><br>
will demonstrate at the conference.}},
author = {{Medved, Dennis and Nilsson, Johan and Nugues, Pierre}},
keywords = {{RDF triplestore; transplantation data set; feature sets}},
language = {{eng}},
title = {{Streamlining a Transplantation Survival Prediction Program with a RDF Triplestore}},
url = {{https://lup.lub.lu.se/search/files/6271170/4173454.pdf}},
year = {{2013}},
}