ICD-10 WHO Search With RAKE Algorithm

I Gusti Ngurah Lanang Wijayakusuma; I Putu Winada Gautama

doi:10.24843/JMAT.2023.v13.i02.p163

ICD-10 WHO Search With RAKE Algorithm

I Gusti Ngurah Lanang Wijayakusuma Universitas Udayana
I Putu Winada Gautama

DOI: https://doi.org/10.24843/JMAT.2023.v13.i02.p163

Abstract

In most cases, clinicians do not use the ICD-10 standard established by the WHO for diagnosing diseases. These issues may result in outcomes that are undesirable from the standpoints of patient safety and the law. The WHO ICD-10 standard collection of diagnoses that can’t be effectively searched using MySQL’s native search mechanism. Therefore, in order to automatically produce several keywords for each ICD-10 code, academics are interested in analyzing the natural language analysis of WHO ICD-10 data. When diagnosing illnesses, it is envisaged that the availability of numerous types of keywords can lead to more fruitful search results. Natural language analysis, a technique for removing stop words from sentences and simultaneously assessing the semantics of the language from which the keywords will be extracted, makes it possible to do this.

Keywords: Natural Language Analysis ; ICD-10 ; Stop Words ; Semantics.

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Published

2023-12-29

How to Cite

WIJAYAKUSUMA, I Gusti Ngurah Lanang; GAUTAMA, I Putu Winada. ICD-10 WHO Search With RAKE Algorithm. Jurnal Matematika, [S.l.], v. 13, n. 2, p. 95-104, dec. 2023. ISSN 2655-0016. Available at: <https://ojs.unud.ac.id/index.php/jmat/article/view/101495>. Date accessed: 29 apr. 2024. doi: https://doi.org/10.24843/JMAT.2023.v13.i02.p163.

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