Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets
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Background: Graph databases enable efficient storage of heterogeneous, highly-interlinked data, such as clinical data. Subsequently, researchers can extract relevant features from these datasets and apply machine learning for dia... ...
