Estimating Patient Condition Codes Using Data Mining Techniques

Abstract

The PROBLEM: TBE wanted to improve our TML + mortality algorithm by factoring in the chance of death as a function of time based on real-world data. The current DOW mortality algorithm is based on responses from a panel of medical SMEs rather than empirical data. Due to time limitations and the amount of data, we decided to pursue an automated method for assigning patient condition codes. The Combat Trauma Registry (CTR) database maintained by the Naval Health Research Center records medical data from patients treated at Navy and Marine corps medical facilities. Each CTR record documents a single visit (encounter) by a single patient. Each record contains over 50 individual fields of data, though often the data is incomplete. The most relevant data (such as injury descriptions) are primarily free text containing numerous abbreviations, medical terms and misspellings.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADA488437

Entities

People

  • Douglas Lowe
  • Joseph Parker
  • Martin Hill
  • Michael Galarneau
  • Peggy Fridlund
  • Ray Mitchell

Organizations

  • Teledyne Technologies

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Body Regions
  • Bone Fractures
  • Combat Injuries
  • Data Mining
  • Directed Energy Weapons
  • Engineering
  • Facial Bones
  • Hearing Loss
  • Jaw
  • Military Operations
  • Respiration Disorders
  • Sexually Transmitted Diseases
  • Skull
  • Spine
  • Word Lists
  • Wounds And Injuries

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Neurotrauma and Rehabilitation Medicine.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval