LITERATURE REVIEW INFORMATION EXTRACTION PADA TEKS BIOMEDICAL DENGAN PENDEKATAN MACHINE LEARNING DAN NAMED ENTITY RECOGNITION

Rizki Ariyani
Jurnal Ilmiah Teknik (JUIT) 📅 2023 Vol 2, No 1 🔗 DOI: 10.56127/juit.v2i1.1727
Abstract
Extraction of information or information extraction is a field of science for natural language processing, by converting unstructured into information in a structured form. Information that is useful and requires data that can be used as a reference in making decisions. Machine Learning Algorithms have been used to build basic classification models to identify pediatrics in biomedical texts and have been developed to provide more accurate information. Named Entity Recognition (NER) is useful to help identify and identify a word. The biomedical field has a lot of literature so that NER is highly demanded in the biomedical domain. Biomedical texts are not homogeneous. Medical notes or records written differently from scientific articles, sequence annotations, or other recent public health. Various methods in biomedicine can be recognized, the meaning of which has been developed using machine learning. This study discusses previous research on NER in the biomedical sector.
Keywords
Biomedical Information Extraction Machine Learning Named Entity Recognition
How to Cite

Rizki Ariyani (2023). LITERATURE REVIEW INFORMATION EXTRACTION PADA TEKS BIOMEDICAL DENGAN PENDEKATAN MACHINE LEARNING DAN NAMED ENTITY RECOGNITION. Jurnal Ilmiah Teknik (JUIT), 2(1). https://doi.org/10.56127/juit.v2i1.1727

Rizki Ariyani, "LITERATURE REVIEW INFORMATION EXTRACTION PADA TEKS BIOMEDICAL DENGAN PENDEKATAN MACHINE LEARNING DAN NAMED ENTITY RECOGNITION," Jurnal Ilmiah Teknik (JUIT), vol. 2, no. 1, 2023.

Rizki Ariyani. "LITERATURE REVIEW INFORMATION EXTRACTION PADA TEKS BIOMEDICAL DENGAN PENDEKATAN MACHINE LEARNING DAN NAMED ENTITY RECOGNITION." Jurnal Ilmiah Teknik (JUIT), vol. 2, no. 1, 2023.

Rizki Ariyani. "LITERATURE REVIEW INFORMATION EXTRACTION PADA TEKS BIOMEDICAL DENGAN PENDEKATAN MACHINE LEARNING DAN NAMED ENTITY RECOGNITION." Jurnal Ilmiah Teknik (JUIT) 2, no. 1 (2023).

Rizki Ariyani (2023) 'LITERATURE REVIEW INFORMATION EXTRACTION PADA TEKS BIOMEDICAL DENGAN PENDEKATAN MACHINE LEARNING DAN NAMED ENTITY RECOGNITION', Jurnal Ilmiah Teknik (JUIT), 2(1). doi: 10.56127/juit.v2i1.1727.

Rizki Ariyani. LITERATURE REVIEW INFORMATION EXTRACTION PADA TEKS BIOMEDICAL DENGAN PENDEKATAN MACHINE LEARNING DAN NAMED ENTITY RECOGNITION. Jurnal Ilmiah Teknik (JUIT). 2023;2(1).

Artikel Terkait

Analysis and Improvement of Rubber Roll Production Line Balancing Using Ranked Positional Weight (RPW) and Region Approach Methods at CV. ABC

Rahman, Fatur; Widiasih, Wiwin

Design of a Shallot Peeling Machine for EA Kitchen MSME Using Voice of Customer, Quality Function Deployment, and Anthropometric Analysis

Herlambang, Indah Putri; Widiasih, Wiwin

Consumer Preference-Based Redesign of Vanish Detergent Packaging Using Conjoint Analysis

Maulana, Rifky; Rohman, Muhammad Daffa Fadhlur; Herawan, Candra; Saragih, Jeims Strong; Akidnaram, Arya; Wahyudi, Rizqi

Quality Control of Plastic Pallet Products Using the Taguchi Method to Reduce Product Rejection: A Case Study on the Sound 1800 Machine

Kusuma, Febiola Alyza; Khoiroh, Siti Muhimatul

Integrated Biorefinery Pathways for Organic Waste Valorisation: A Systematic Literature Review of Biological, Thermochemical, and Anaerobic Digestion Technologies

Liwun, Stephanus Benedictus Bera; Indrasti, Nastiti Siswi; Suprihatin, Suprihatin; Djatna, Taufik

Implementation of Laplacian-Based Image Sharpening on X-Ray Images

Wibowo, Priyo Sarjono; Maurits, Ivan
Tren Sitasi Jurnal