This paper introduces CORE-BCD-mAI, a COmposite Framework for REpresenting, Querying, and Analyzing Big Clinical Data by means of multidimensional AI Tools. The proposed framework combines Artificial Intelligence (AI) and Big Data, with the aim of accessing big clinical datasets for managing and decision-making purposes, in the healthcare application scenario. We present in detail methodologies supported by the CORE-BCD-mAI framework, along with its intrinsic anatomy. The paper also provides relevant research challenges deriving from the overall CORE-BCD-mAI proposal.
CITATION STYLE
Cuzzocrea, A., & Bringas, P. G. (2022). CORE-BCD-mAI: A Composite Framework for Representing, Querying, and Analyzing Big Clinical Data by Means of Multidimensional AI Tools. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13469 LNAI, pp. 175–185). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15471-3_16
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