Sridhar Nomula

Knowledge graph for Decision Engine

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 52
• Erscheinungstermin: 29. April 2024
• Englisch
• Abmessung: 220mm x 150mm x 4mm
• Gewicht: 96g
• ISBN-13: 9786207488865
• ISBN-10: 6207488865
• Artikelnr.: 70749124

Autorenporträt

Its very important for pharma companies to understand from the Health Care Professionals (HCPs) in a therapeutic universe, who is likely to try for the first time and to prescribe more, or to churn your brand in the near future. Answering these questions and gaining a better understanding of the dynamic HCP landscape, are top priorities for pharma.