An Ontology-driven Treatment Article Retrieval System for Precision Oncology

02/13/2020
by   Zheng Chen, et al.
0

This paper presents an ontology-driven treatment article retrieval system developed and experimented using the data and ground truths provided by the TREC 2017 precision medicine track. The key aspects of our system include: meaningful integration of various disease, gene, and drug name ontologies, training of a novel perceptron model for article relevance labeling, a ranking module that considers additional factors such as journal impact and article publication year, and comprehensive query matching rules. Experimental results demonstrate that our proposed system considerably outperforms the results of the best participating system of the TREC 2017 precision medicine challenge.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/03/2018

Building a Controlled Vocabulary for Standardizing Precision Medicine Terms

Rapid advances of technology and development of research in precision me...
research
04/16/2019

A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine

The Precision Medicine Initiative states that treatments for a patient s...
research
08/15/2021

Development of the InBan_CIDO Ontology by Reusing the Concepts along with Detecting Overlapping Information

The covid19 pandemic is a global emergency that badly impacted the econo...
research
09/05/2018

Theoretical analysis and propositions for "ontology citation"

Ontology citation, the practice of referring the ontology in a similar f...
research
12/17/2020

Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization

Information retrieval (IR) for precision medicine (PM) often involves lo...
research
12/15/2021

AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks

Accurate drug response prediction (DRP) is a crucial yet challenging tas...
research
09/12/2018

An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as An Example

In this work, an ontology-based model for AI-assisted medicine side-effe...

Please sign up or login with your details

Forgot password? Click here to reset