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portada Knowledge Graph for Decision Engine
Type
Physical Book
Publisher
Author
Language
English
Pages
52
Format
Paperback
ISBN13
9786207488865

Knowledge Graph for Decision Engine

Sridhar Nomula (Author) · Lap Lambert Academic Publishing · Paperback

Knowledge Graph for Decision Engine - Sridhar Nomula

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Synopsis "Knowledge Graph for Decision Engine"

With the advent of Bigdata technologies, healthcare data captured and stored at multiple granular levels and multiple formats. In the healthcare domain, includes hospitals, pharmaceuticals, and insurance companies have an enormous amount of data in structured tables. However, significant amounts of the big data remain underutilized due to data isolation, distribution, and heterogeneity. Despite interconnected tabular data linked together in some way for ML input, challenges are, increased dimensionality, normalization of data which is not natural representation, repetition of data on merging different aggregated data across tables. Machine learning models supposes the observations are not dependent however, the real world information is interconnected. Knowledge graphs and machine learning are two important tools to understand and model complex concepts, while machine learning is a process by which computers learn from data, without being explicitly programmed.

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