Deploying an Interactive Machine Learning System in an Evidence-based Practice Center: Abstrackr

Title

Deploying an Interactive Machine Learning System in an Evidence-based Practice Center: Abstrackr

Creator

Wallace BC; Small K; Brodley CE; Lau J; Trikalinos TA

Publisher

Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Date

2012

Subject

Evidence-Based Medicine; Medical; active learning; applications; machine learning; Scoping Review 2015-2016; text classification

Description

Medical researchers looking for evidence pertinent to a specific clinical question must navigate an increasingly voluminous corpus of published literature. This data deluge has motivated the development of machine learning and data mining technologies to facilitate efficient biomedical research. Despite the obvious labor-saving potential of these technologies and the concomitant academic interest therein, however, adoption of machine learning techniques by medical researchers has been relatively sluggish. One explanation for this is that while many machine learning methods have been proposed and retrospectively evaluated, they are rarely (if ever) actually made accessible to the practitioners whom they would benefit. In this work, we describe the ongoing development of an end-to-end interactive machine learning system at the Tufts Evidence-based Practice Center. More specifically, we have developed abstrackr, an online tool for the task of citation screening for systematic reviews. This tool provides an interface to our machine learning methods. The main aim of this work is to provide a case study in deploying cutting-edge machine learning methods that will actually be used by experts in a clinical research setting.

Rights

Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).

Type

Conference Paper

Citation

Wallace BC; Small K; Brodley CE; Lau J; Trikalinos TA, “Deploying an Interactive Machine Learning System in an Evidence-based Practice Center: Abstrackr,” Pediatric Palliative Care Library, accessed February 29, 2024, https://pedpalascnetlibrary.omeka.net/items/show/11423.