About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
12th EAI International Conference on Pervasive Computing Technologies for Healthcare – Demos, Posters, Doctoral Colloquium

Research Article

An Interactive Analysis of the Costs of Technologically Assisted Medical Reviews

Download702 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.20-4-2018.2276346,
        author={Giorgio Maria Di Nunzio},
        title={An Interactive Analysis of the Costs of Technologically Assisted Medical Reviews},
        proceedings={12th EAI International Conference on Pervasive Computing Technologies for Healthcare -- Demos, Posters, Doctoral Colloquium},
        publisher={EAI},
        proceedings_a={PERVASIVEHEALTH - EAI},
        year={2018},
        month={8},
        keywords={systematic reviews probabilistic retrieval models interactive machine learning},
        doi={10.4108/eai.20-4-2018.2276346}
    }
    
  • Giorgio Maria Di Nunzio
    Year: 2018
    An Interactive Analysis of the Costs of Technologically Assisted Medical Reviews
    PERVASIVEHEALTH - EAI
    EAI
    DOI: 10.4108/eai.20-4-2018.2276346
Giorgio Maria Di Nunzio1,*
  • 1: University of Padua
*Contact email: giorgiomaria.dinunzio@unipd.it

Abstract

The understanding of medical data by experts with highly specific skills, as for example clinicians (a general term that encompasses every medical position involving patients), is necessary for diagnosing illnesses and administering treatment to patients through either medicine or protocols. However, the huge quantity of data produced by digital health technologies make the life of clinicians harder in terms of keeping up with such amount of information.

In this demo, we present an interactive application which monitors the amount of relevant literature found by a clinician in a Continuous Active Learning (CAL) framework. The application allows to study the actual costs of completing a systematic review within a 95% confidence interval by alternating random samples of documents with examples selected by a probabilistic machine learning approach.

Keywords
systematic reviews probabilistic retrieval models interactive machine learning
Published
2018-08-20
Publisher
EAI
http://dx.doi.org/10.4108/eai.20-4-2018.2276346
Copyright © 2018–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL