research-article

GeCoAgent: A Conversational Agent for Empowering Genomic Data Extraction and Analysis

Authors:

Pietro Crovari,

Anna Bernasconi,

Arif Canakoglu,

Franca Garzotto,

Stefano CeriAuthors Info & Claims

ACM Transactions on Computing for Healthcare (HEALTH), Volume 3, Issue 1

Article No.: 3, Pages 1 - 29

https://doi.org/10.1145/3464383

Published: 15 October 2021 Publication History

Abstract

With the availability of reliable and low-cost DNA sequencing, human genomics is relevant to a growing number of end-users, including biologists and clinicians. Typical interactions require applying comparative data analysis to huge repositories of genomic information for building new knowledge, taking advantage of the latest findings in applied genomics for healthcare. Powerful technology for data extraction and analysis is available, but broad use of the technology is hampered by the complexity of accessing such methods and tools.

This work presents GeCoAgent, a big-data service for clinicians and biologists. GeCoAgent uses a dialogic interface, animated by a chatbot, for supporting the end-users’ interaction with computational tools accompanied by multi-modal support. While the dialogue progresses, the user is accompanied in extracting the relevant data from repositories and then performing data analysis, which often requires the use of statistical methods or machine learning. Results are returned using simple representations (spreadsheets and graphics), while at the end of a session the dialogue is summarized in textual format. The innovation presented in this article is concerned with not only the delivery of a new tool but also our novel approach to conversational technologies, potentially extensible to other healthcare domains or to general data science.

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Cited By

Laymouna MMa YLessard DSchuster TEngler KLebouché B(2024)Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid ReviewJournal of Medical Internet Research10.2196/5693026(e56930)Online publication date: 23-Jul-2024
https://doi.org/10.2196/56930
Sv SK SS PG S(2024)Democratizing Data Science:Using Language Models for Intuitive Data Insights and Visualizations2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN)10.1109/ICPCSN62568.2024.00177(1065-1069)Online publication date: 3-May-2024
https://doi.org/10.1109/ICPCSN62568.2024.00177
Rateria SSingh S(2024)Transparent, Low Resource, and Context-Aware Information Retrieval From a Closed Domain Knowledge BaseIEEE Access10.1109/ACCESS.2024.338000612(44233-44243)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3380006
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Index Terms

GeCoAgent: A Conversational Agent for Empowering Genomic Data Extraction and Analysis
1. Applied computing
  1. Life and medical sciences
    1. Bioinformatics
    2. Computational biology
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Transactions on Computing for Healthcare

ACM Transactions on Computing for Healthcare Volume 3, Issue 1

January 2022

255 pages

EISSN:2637-8051

DOI:10.1145/3485154

Editors:
Insup Lee
University of Pennsylvania, USA
,
John A. Stankovic
University of Virginia, USA

Issue’s Table of Contents

Copyright © 2021 Association for Computing Machinery.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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New York, NY, United States

Publication History

Published: 15 October 2021

Accepted: 01 April 2021

Revised: 01 March 2021

Received: 01 July 2020

Published in HEALTH Volume 3, Issue 1

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Cited By

Laymouna MMa YLessard DSchuster TEngler KLebouché B(2024)Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid ReviewJournal of Medical Internet Research10.2196/5693026(e56930)Online publication date: 23-Jul-2024
https://doi.org/10.2196/56930
Sv SK SS PG S(2024)Democratizing Data Science:Using Language Models for Intuitive Data Insights and Visualizations2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN)10.1109/ICPCSN62568.2024.00177(1065-1069)Online publication date: 3-May-2024
https://doi.org/10.1109/ICPCSN62568.2024.00177
Rateria SSingh S(2024)Transparent, Low Resource, and Context-Aware Information Retrieval From a Closed Domain Knowledge BaseIEEE Access10.1109/ACCESS.2024.338000612(44233-44243)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3380006
Pidó SPinoli PCrovari PIeva FGarzotto FCeri S(2023)Ask Your Data—Supporting Data Science Processes by Combining AutoML and Conversational InterfacesIEEE Access10.1109/ACCESS.2023.327250311(45972-45988)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3272503
Li YRadev DRafiei DLi YRadev DRafiei D(2023)InteractivityNatural Language Interfaces to Databases10.1007/978-3-031-45043-3_7(177-229)Online publication date: 25-Nov-2023
https://doi.org/10.1007/978-3-031-45043-3_7
Abbo GCrovari PGarzotto F(2022)Enhancing Conversational Troubleshooting with Multi-modality: Design and ImplementationChatbot Research and Design10.1007/978-3-031-25581-6_7(103-117)Online publication date: 22-Nov-2022
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Bernasconi A(2022)Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic DataSpecial Topics in Information Technology10.1007/978-3-030-85918-3_8(89-99)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-85918-3_8

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