Knowledge Graph-based Question Answering with Electronic Health Records

10/19/2020
by   Junwoo Park, et al.
0

Question Answering (QA) on Electronic Health Records (EHR), namely EHR QA, can work as a crucial milestone towards developing an intelligent agent in healthcare. EHR data are typically stored in a relational database, which can also be converted to a Directed Acyclic Graph (DAG), allowing two approaches for EHR QA: Table-based QA and Knowledge Graph-based QA. We hypothesize that the graph-based approach is more suitable for EHR QA as graphs can represent relations between entities and values more naturally compared to tables, which essentially require JOIN operations. To validate our hypothesis, we first construct EHR QA datasets based on MIMIC-III, where the same question-answer pairs are represented in SQL (table-based) and SPARQL (graph-based), respectively. We then test a state-of-the-art EHR QA model on both datasets where the model demonstrated superior QA performance on the SPARQL version. Finally, we open-source both MIMICSQL* and MIMIC-SPARQL* to encourage further EHR QA research in both direction

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 6

page 8

page 9

research
03/14/2022

Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records

Question Answering on Electronic Health Records (EHR-QA) has a significa...
research
11/14/2021

Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture

An intelligent machine that can answer human questions based on electron...
research
08/25/2023

Knowledge-Based Version Incompatibility Detection for Deep Learning

Version incompatibility issues are rampant when reusing or reproducing d...
research
08/22/2023

Knowledge Graph Prompting for Multi-Document Question Answering

The 'pre-train, prompt, predict' paradigm of large language models (LLMs...
research
02/25/2019

Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds

Question Answering (QA), as a research field, has primarily focused on e...
research
02/08/2020

HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention

This paper proposes a chatbot framework that adopts a hybrid model which...
research
09/20/2023

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables

Question answering on tabular data (a.k.a TableQA), which aims at genera...

Please sign up or login with your details

Forgot password? Click here to reset