Crossmark

Literature Survey and an Idea Comprehension on Prediction of Hysterectomy in Women Using Natural Language Processing and Deep Learning Technique for Electronic Health Record

Crossref DOI link: https://doi.org/10.1007/s42979-022-01597-w

Published Online: 2023-03-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kumar, Aishwarya N. https://orcid.org/0000-0002-8675-7586
Meenakshi Sundaram, A.
License Information

Text and Data Mining valid from 2023-03-07

Version of Record valid from 2023-03-07
More Information

Article History

Received: 14 September 2022

Accepted: 17 December 2022

First Online: 7 March 2023

Declarations

:

: On behalf of all authors, the corresponding author Aishwarya N. Kumar states that there is no conflict of interest.

: This article does not contain any studies with human participants or animals performed by any of the authors.

Document is current

Any future updates will be listed below