Natural language processing utilization in healthcare

Syihaabul Hudaa, Dwi Bambang Putut Setiyadi, E. Laxmi Lydia, K. Shankar, Phong Thanh Nguyen, Wahidah Hashim, Andino Maseleno

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1117-1120
Number of pages4
JournalInternational Journal of Engineering and Advanced Technology
Volume8
Issue number6 Special Issue 2
DOIs
Publication statusPublished - Aug 2019

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Engineering(all)
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Natural language processing utilization in healthcare'. Together they form a unique fingerprint.

  • Cite this

    Hudaa, S., Setiyadi, D. B. P., Laxmi Lydia, E., Shankar, K., Nguyen, P. T., Hashim, W., & Maseleno, A. (2019). Natural language processing utilization in healthcare. International Journal of Engineering and Advanced Technology, 8(6 Special Issue 2), 1117-1120. https://doi.org/10.35940/ijeat.F1305.0886S219