Using Exploration and Learning for Medical Records Search: An Experiment in Identifying Cohorts for Comparative Effectiveness Research

Abstract

This paper describes an experiment performed on a medical record data set, using an information retrieval (IR) tool that applies the techniques of exploration and learning, to assist a researcher in identifying the most relevant cohorts. The paper presents some brief background on exploration and learning, how they are incorporated in the IR tool, and an instantiation of exploration and learning used for selecting cohorts for a research population. The research problem addressed in this paper is the TREC 2012 Medical Track task: How to provide content-based access to free-text fields of electronic medical records? The stated goal of the task is to "find a population over which comparative effectiveness studies can be done."

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2012
Accession Number
ADA581515

Entities

People

  • Harvey Hyman
  • Warren Fridy Iii

Organizations

  • University of South Florida

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Age Groups
  • Applied Psychology
  • Artifacts
  • Data Sets
  • Environment
  • Extraction
  • Governments
  • Information Operations
  • Information Retrieval
  • Learning
  • New York
  • Psychological Phenomena And Processes
  • Psychology
  • Robotics
  • Standards

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Information Retrieval
  • Medical or Health Care Field.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • Microelectronics