Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing

Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing

A modern framework for assessing patient histories and conducting clinical research has been developed as the number of clinical narratives evolves. To discover the knowledge from such clinical narratives, clinical entity recognition and relation extraction tasks were performed subsequently in exist...

Full description

Saved in:
Bibliographic Details
Main Authors: Naveen S. Pagad, Pradeep Nijalingappa, Tulika Chakrabarti, Prasun Chakrabarti, Pugazhenthan Thangaraju
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-12-01
Series:Journal of the Scientific Society
Subjects:
clinical xlnet
electronic health record
entity recognition
knowledge discovery
natural language processing
relation extraction
Online Access:https://journals.lww.com/10.4103/jss.jss_73_23
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items