Abstract: Aspects of the subject disclosure may include, for example, obtaining data regarding an environment associated with a cell site, identifying one or more coverage pivots from a plurality of coverage locations in the environment, utilizing one or more machine learning (ML) models to determine emission directions for the one or more coverage pivots based at least in part on locations of the one or more coverage pivots and the cell site in the environment, resulting in determined emission directions, and causing ray tracing simulation to be performed using the determined emission directions, wherein the ray tracing simulation enables first signal coverage estimates to be derived for the one or more coverage pivots and used to extrapolate second signal coverage estimates for a remainder of the plurality of coverage locations. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data regarding an environment associated with a cell site, identifying one or more coverage pivots from a plurality of coverage locations in the environment, utilizing one or more machine learning (ML) models to determine emission directions for the one or more coverage pivots based at least in part on locations of the one or more coverage pivots and the cell site in the environment, resulting in determined emission directions, and causing ray tracing simulation to be performed using the determined emission directions, wherein the ray tracing simulation enables first signal coverage estimates to be derived for the one or more coverage pivots and used to extrapolate second signal coverage estimates for a remainder of the plurality of coverage locations. Other embodiments are disclosed.

Abstract: A system and method utilizing deep clinical knowledge represented as a knowledge-graph to complement and enhance Natural Language Processing (NLP) for efficient and high-quality computer assisted coding of medical text. One embodiment utilizes the International Classification of Diseases version-10 Procedural Coding System (ICD-10-PCS). The system uses multiple knowledge bases combined with direct mapping provided by the ICD-10-PCS standard to enhance the coverage of assigned code. The system identifies ICD-10-PCS code considering hierarchical mapping and identifies the code by individual ICD-10-PCS character.

Abstract: A system and method utilizing deep clinical knowledge represented as a knowledge-graph to complement and enhance Natural Language Processing (NLP) for efficient and high-quality computer assisted coding of medical text. One embodiment utilizes the International Classification of Diseases version-10 Procedural Coding System (ICD-10-PCS). The system uses multiple knowledge bases combined with direct mapping provided by the ICD-10-PCS standard to enhance the coverage of assigned code. The system identifies ICD-10-PCS code considering hierarchical mapping and identifies the code by individual ICD-10-PCS character.