Using predicate information from a knowledge graph to identify disease trajectories

W. J. Vlietstra; R. Vos; E. M. van Mulligen; J. A. Kors

Using predicate information from a knowledge graph to identify disease trajectories

W. J. Vlietstra, R. Vos, E. M. van Mulligen, J. A. Kors

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Journal	CEUR Workshop Proceedings
Volume	2350
State	Published - 2019
Externally published	Yes
Event	2019 AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering, AAAI-MAKE 2019 - Palo Alto, United States Duration: Mar 25 2019 → Mar 27 2019

Cite this

@article{a71834f322f2418c8557a6fa7929a0ab,

title = "Using predicate information from a knowledge graph to identify disease trajectories",

author = "Vlietstra, \{W. J.\} and R. Vos and \{van Mulligen\}, \{E. M.\} and Kors, \{J. A.\}",

year = "2019",

language = "Ingl{\'e}s",

volume = "2350",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

note = "2019 AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering, AAAI-MAKE 2019 ; Conference date: 25-03-2019 Through 27-03-2019",

}

TY - JOUR

T1 - Using predicate information from a knowledge graph to identify disease trajectories

AU - Vlietstra, W. J.

AU - Vos, R.

AU - van Mulligen, E. M.

AU - Kors, J. A.

PY - 2019

Y1 - 2019

UR - https://www.scopus.com/pages/publications/85064988213

M3 - Artículo de la conferencia

AN - SCOPUS:85064988213

SN - 1613-0073

VL - 2350

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2019 AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering, AAAI-MAKE 2019

Y2 - 25 March 2019 through 27 March 2019

ER -

Using predicate information from a knowledge graph to identify disease trajectories

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