Sammanfattning
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.
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.
| Originalspråk | engelska |
|---|---|
| Antal sidor | 4 |
| Status | Published - 2013 |
| Evenemang | 9th International Conference on Data Integration in the Life Sciences - Montreal, Qc, Kanada Varaktighet: 2013 juli 11 → … |
Konferens
| Konferens | 9th International Conference on Data Integration in the Life Sciences |
|---|---|
| Land/Territorium | Kanada |
| Ort | Montreal, Qc |
| Period | 2013/07/11 → … |
Ämnesklassifikation (UKÄ)
- Kardiologi
- Kirurgi