A semantic sequence similarity based approach for extracting medical entities from clinical conversations
Clinical conversations between physicians and patients can provide a rich source of data,
information, and knowledge. A plethora of tools and technologies have been developed to …
information, and knowledge. A plethora of tools and technologies have been developed to …
[HTML][HTML] Multi-view representation learning for tabular data integration using inter-feature relationships
Objective: An applied problem facing all areas of data science is harmonizing data sources.
Joining data from multiple origins with unmapped and only partially overlapping features is a …
Joining data from multiple origins with unmapped and only partially overlapping features is a …
Deep Learning to Jointly Schema Match, Impute, and Transform Databases
An applied problem facing all areas of data science is harmonizing data sources. Joining
data from multiple origins with unmapped and only partially overlapping features is a …
data from multiple origins with unmapped and only partially overlapping features is a …
A Novel Hybrid Model to Detect and classify Arrhythmia Using ECG and Bio-Signals
BN Manjesh - Scalable Computing: Practice and Experience, 2024 - scpe.org
In general, arrhythmias, also called cardiac arrhythmia, heart arrhythmia, or dysrhythmias,
are abnormal heartbeats which include too fast or too slow. The Cardiovascular Disease …
are abnormal heartbeats which include too fast or too slow. The Cardiovascular Disease …
Significance of Syntactic Type Identification in Embedding Vector based Schema Matching
Data Interoperability provides a bridge between information systems to store, exchange and
consume heterogeneous data. In order to achieve this goal, schema maps provide the …
consume heterogeneous data. In order to achieve this goal, schema maps provide the …
Schema Matching of Health Data Using Foundation Models
Schema matching is a core task in data integration, where the aim is to identify
correspondences between schema elements from a source schema and a target schema so …
correspondences between schema elements from a source schema and a target schema so …
[PDF][PDF] Semantic Web technologies and bias in artificial intelligence: A systematic
Bias in Artificial Intelligence (AI) is a critical and timely issue due to its sociological,
economic and legal impact, as decisions made by biased algorithms could lead to unfair …
economic and legal impact, as decisions made by biased algorithms could lead to unfair …