ICD-10 WHO Search With RAKE Algorithm
| Main Authors: | Wijayakusuma, I Gusti Ngurah Lanang, Gautama, I Putu Winada |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
, 2023
|
| Online Access: |
https://ojs.unud.ac.id/index.php/jmat/article/view/101495 https://ojs.unud.ac.id/index.php/jmat/article/view/101495/53313 |
Daftar Isi:
- 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.