Identifikasi Hubungan Sebab-Akibat pada Artikel Kesehatan menggunakan Anotasi Elemen Medis dan Paragraf

  • Susetyo Bagas Bhaskoro Institut Teknologi Bandung
  • Saiful Akbar Institut Teknologi Bandung
  • Suhono Harso Supangkat Institut Teknologi Bandung
Keywords: Sebab-akibat, artikel kesehatan, medical named entities, seleksi fitur, anotasi elemen medis, anotasi paragraf

Abstract

This paper studies natural language processing on medical articles in Indonesian that aims to identify causal relationship and used as public health surveillance information monitoring system. This paper proposes selection-feature conformity, phrase annotation, paragraph annotation, and medical element annotation. System performance evaluation is carried out using intrinsic aprroach which compares supervised classification methods, i.e. naive bayes method and HMM. Results obtained for recall, precission, and f-measure are 0.905, 0.924, 0.910 and 0.706, 0.750, 0.720, respectively.

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Published
2019-05-31
How to Cite
Susetyo Bagas Bhaskoro, Saiful Akbar, & Suhono Harso Supangkat. (2019). Identifikasi Hubungan Sebab-Akibat pada Artikel Kesehatan menggunakan Anotasi Elemen Medis dan Paragraf. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 8(2), 161-167. Retrieved from https://dev.journal.ugm.ac.id/v3/JNTETI/article/view/2598
Section
Articles