Knowledge Discovery in Vietnamese Herbal Medicine by Use of VietHerb

Abstract

'Knowledge discovery in Vietnamese herbal medicine by use of VietHerb' effort focused on examining various AI techniques in the medical domain. The first work used graph convolution and extended connectivity fingerprinting to predict metabolite efficacy against cancer. The second work applied text mining techniques to discover drug interactions between herbal and traditional medicines. For pragmatics of scale, this required an unsupervised learning model to perform relation extraction. This effort produced 2 journal publications and 3 conference publications. The database is hosted at http://vietherb.com.vn/

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Document Details

Document Type
Technical Report
Publication Date
Jul 16, 2019
Accession Number
AD1096549

Entities

People

  • Ly Le

Organizations

  • International University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Artificial Intelligence Software
  • Chemical Compounds
  • Computational Biology
  • Computational Science
  • Convolutional Neural Networks
  • Data Mining
  • Databases
  • Identification
  • Information Science
  • Machine Learning
  • Neural Networks
  • Ontologies
  • Side Effects
  • Text Mining
  • Therapy
  • Unsupervised Machine Learning

Readers

  • Computational Linguistics
  • Oncology and Biomarker-Based Cancer Detection.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Neural Networks