document/10564463 (explore) | nanodash

Login with ORCID

document/10564463

Full identifier: https://ieeexplore.ieee.org/document/10564463

Assigned to 1 class:

http://semanticscience.org/resource/SIO_001066 SIO_001066 ( )

Described in 1 nanopublication:

https://w3id.org/np/RAxoz9oUqq... Addressing the Challenge of Missing Medical Data in Healthcare Analytics: A Focus on Machine Learning Predictions for ICU Length of Stay ( )

References

Nanopublication	Part	Subject	Predicate	Object	Published By	Published On
https://w3id.org/np/RAxoz9oUqq... RAxoz9oUqq	links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion	document/10564463	http://www.w3.org/1999/02/22-rdf-syntax-ns#type type	http://semanticscience.org/resource/SIO_001066 SIO_001066	Emily Regalado	2025-10-15T15:48:51.761Z
https://w3id.org/np/RAxoz9oUqq... RAxoz9oUqq	links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion	document/10564463	http://www.w3.org/2000/01/rdf-schema#label label	Addressing the Challenge of Missing Medical Data in Healthcare Analytics: A Focus on Machine Learning Predictions for ICU Length of Stay	Emily Regalado	2025-10-15T15:48:51.761Z
https://w3id.org/np/RAxoz9oUqq... RAxoz9oUqq	links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion	document/10564463	http://purl.org/dc/terms/description description	This research investigates the impact of missing data on the performance of machine learning algorithms, with a particular focus on the MIMIC-IV dataset. This project aims to investigate the extent to which missing data negatively impacts the training of machine learning algorithms, and whether demographic groups with a higher proportion of missing data (i.e.,ethnicity) have lower predictive accuracy. Using advanced machine learning and data analysis techniques, the results highlight important considerations related to missing data in medical datasets and provide useful insights for improving predictive modeling and decision support systems in clinical practice offers.	Emily Regalado	2025-10-15T15:48:51.761Z
https://w3id.org/np/RAxoz9oUqq... RAxoz9oUqq	links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion	document/10564463	http://www.w3.org/2000/01/rdf-schema#seeAlso seeAlso	document/10564463	Emily Regalado	2025-10-15T15:48:51.761Z
https://w3id.org/np/RAxoz9oUqq... RAxoz9oUqq	links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion	document/10564463	https://schema.org/about about	http://www.wikidata.org/entity/Q2539 Q2539	Emily Regalado	2025-10-15T15:48:51.761Z
https://w3id.org/np/RAxoz9oUqq... RAxoz9oUqq	links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion	document/10564463	https://schema.org/about about	http://www.wikidata.org/entity/Q1916557 Q1916557	Emily Regalado	2025-10-15T15:48:51.761Z
https://w3id.org/np/RAxoz9oUqq... RAxoz9oUqq	links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo	https://w3id.org/np/RAxoz9oUqq... RAxoz9oUqq	http://purl.org/nanopub/x/introduces introduces	document/10564463	Emily Regalado	2025-10-15T15:48:51.761Z
https://w3id.org/np/RAxoz9oUqq... RAxoz9oUqq	links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion	document/10564463	http://www.w3.org/2000/01/rdf-schema#seeAlso seeAlso	document/10564463	Emily Regalado	2025-10-15T15:48:51.761Z