Exploring machine learning techniques using patient interactions in online health forums to classify drug safety

Chee, Brant

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https://hdl.handle.net/2142/29787 Copy

Description

Title

Exploring machine learning techniques using patient interactions in online health forums to classify drug safety

Author(s)

Chee, Brant

Issue Date

2012-02-06T20:16:55Z

Director of Research (if dissertation) or Advisor (if thesis)

Schatz, Bruce R.

Doctoral Committee Chair(s)

Gasser, Les

Committee Member(s)

• Schatz, Bruce R.
• Karahalios, Karrie G.
• Blake, Catherine

Department of Study

Library & Information Science

Discipline

Library & Information Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• Machine learning
• Natural language processing
• Adverse drug events
• Pharmacovigilance

Abstract

This dissertation explores the use of personal health messages collected from online message forums to predict drug safety using natural language processing and machine learning techniques. Drug safety is defined as any drug with an active safety alert from the US Food and Drug Administration (FDA). It is believed that this is the first exploration of patient derived data of this type for pharmacovigilance – the study of drugs once released to market for safety. It is believed that this is the first application of machine learning and natural language processing techniques to be used for pharmicovigilance on patient derived data. We present results demonstrating the identification of drugs withdrawn from market as well as predictions of other potential safety alert drugs. One example includes Meridia, a weight loss drug linked with death for those with cardiovascular disease. The drug is identified based on data presented two years before FDA and European Union (EU) advisory panels were formed and the subsequent withdrawal of the drug from market within the EU and United States.

Graduation Semester

2011-12

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Copyright and License Information

Copyright 2011 Brant Chee

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