An algorithm for direct causal learning of influences on patient outcomes.
Objective: This study aims at developing and introducing a new algorithm, called direct causal learner (DCL), for learning the direct causal influences of a single target. We applied it to both simulated and real clinical and genome wide association study (GWAS) datasets and compared its performance...
| Published in: | Artificial Intelligence in Medicine Vol. 75; pp. 1 - 16 |
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| Main Authors: | , , |
| Format: | research Journal Article |
| Published: |
Elsevier B.V.
Jan2017
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| Online Access: | View this record in EBSCOhost |