Knowledge graph for Decision Engine (Paperback)

Sridhar Nomula

ISBN 10: 6207488865 / ISBN 13: 9786207488865

Editore: LAP Lambert Academic Publishing, 2024

Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786207488865

Riassunto:

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.

Dati bibliografici

Titolo: Knowledge graph for Decision Engine (...
Casa editrice: LAP Lambert Academic Publishing
Data di pubblicazione: 2024
Legatura: Paperback
Condizione: new