AUTOMATIC EXTRACTION OF SIDE EFFECT INFORMATION FROM CONSUMER DRUG REVIEWS SUPERVISED BY: Assoc Prof Khoo Soo Guan, Christopher Wee Kim Wee School of Communication and Information 20 April, 2015 PRESENTED BY: Abdul Rachman(G1400808F) Paudel Sunil(G1400834A) Sathasivamoorthy Nirathan(G1301369K)
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Automation Extraction of Side Effect Information from Consumer drug reviews
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AUTOMATIC EXTRACTION OF SIDE EFFECT
INFORMATION FROM CONSUMER DRUG
REVIEWS
SUPERVISED BY:
Assoc Prof Khoo Soo Guan, Christopher
Wee Kim Wee School of Communication and Information
20 April, 2015
PRESENTED BY:
Abdul Rachman(G1400808F)
Paudel Sunil(G1400834A)
Sathasivamoorthy Nirathan(G1301369K)
Introduction
• Text mining and information extraction from the reviews of social media
(www.webmd.com).
• Extracting side effect information of psychotropic drugs.
• Psychotropic drugs alter the chemical levels in the brain and impact the behavior,
emotions and the mood.
• In past, pharmacy used to provide the side effects based on the clinical trials.
• These days, trusted health sites (like www.fda.gov) provide the list of probable side
effects.
• Sometimes, user might experience side effects not mentioned in the label of the medicine.