4112.1 Data Mining Technologies and Other Applications

Tuesday, November 1, 2011: 10:30 AM
Data mining has ever-increasing application across many fields, including health care. The overwhelming amount of epidemiological information collected and analyzed everyday across the nation reveals patters that can help policymakers and clinicians alike improve outcomes. This session highlights lessons learned from a few studies.
Session Objectives: At the end of this session, participants should be able to: 1. discuss the value of data mining; 2. outline the benefits of data mining as a tool for identifying patterns in epidemiology.
Diane L. Adams, MD, MPH, CHS-III

10:30 AM
Liberating Data: Accessing Native Hawaiian and Other Pacific Islander Data from National Data Sets
Maile Taualii, PhD, MPH, Joey Quenga, Raynald Samoa, MD and Salim Samanani, MD
10:50 AM
Association Rule Mining on National Survey Data: An Analysis of Timely Receipt of Preventive Care or Screening Examinations
Yoon-Ho Seol, PhD, Genny Carrillo-Zuniga, MD, MPH, ScD and Miguel A. Zuniga, MD, DrPH
11:10 AM
Identifying Health-Related Topics on Twitter: An Exploration of Tobacco-Related Tweets as a Test Topic
Kyle Prier, BA, Matthew Smith, MS, Christophe Giraud-Carrier, PhD and Carl Hanson, PhD, CHES
11:30 AM
Use of advanced text analytics and automated reporting to improve CDC emergency preparedness through the Division of Emergency Operations
Mary Nguyen-Choi, PhD, Adam Feldman, David Kennedy, David Maples, Jim Crockett, KC Decker, MA, Barry Koogler and Joseph Carneiro

See individual abstracts for presenting author's disclosure statement and author's information.

Organized by: Health Informatics Information Technology
Endorsed by: American Indian, Alaska Native and Native Hawaiian Caucus, Alcohol, Tobacco, and Other Drugs

CE Credits: Medical (CME), Health Education (CHES), Nursing (CNE), Public Health (CPH) , Masters Certified Health Education Specialist (MCHES)