Please use this identifier to cite or link to this item:
Title: Natural language processing utilization in healthcare
Authors: Hudaa, S. 
Setiyadi, D.B.P. 
Laxmi Lydia, E. 
Shankar, K. 
Nguyen, P.T. 
Hashim, W. 
Maseleno, A. 
Issue Date: 2019
Abstract: The significance of consolidating Natural Language Processing (NLP) techniques in clinical informatics research has been progressively perceived over the previous years, and has prompted transformative advances. Ordinarily, clinical NLP frameworks are created and assessed on word, sentence, or record level explanations that model explicit traits and highlights, for example, archive content (e.g., persistent status, or report type), record segment types (e.g., current meds, past restorative history, or release synopsis), named substances and ideas (e.g., analyses, side effects, or medicines) or semantic qualities (e.g., nullification, seriousness, or fleetingness). While some NLP undertakings consider expectations at the individual or gathering client level, these assignments still establish a minority. Here we give an expansive synopsis and layout of the difficult issues engaged with characterizing suitable natural and outward assessment strategies for NLP look into that will be utilized for clinical results research, and the other way around. A specific spotlight is set on psychological wellness investigate, a zone still generally understudied by the clinical NLP look into network, however where NLP techniques are of prominent importance. Ongoing advances in clinical NLP strategy improvement have been huge, yet we propose more accentuation should be put on thorough assessment for the field to progress further. To empower this, we give noteworthy recommendations, including an insignificant convention that could be utilized when announcing clinical NLP strategy improvement and its assessment. © BEIESP.
DOI: 10.35940/ijeat.F1305.0886S219
Appears in Collections:UNITEN Scholarly Publication

Files in This Item:
File SizeFormat 
Natural language processing utilization in healthcare.pdf360.81 kBAdobe PDFView/Open
Show full item record

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.