NDLI: Mining Adverse Drug Side-Effects from Online Medical Forums

Content Provider	IEEE Xplore Digital Library
Author	Sampathkumar, H. Bo Luo Xue-wen Chen
Copyright Year	2012
Abstract	Pharmaceutical drugs prescribed for the prevention, treatment or cure of diseases can have adverse reactions or side-effects that lead to further health complications or sometimes even death. Most of the common side-effects of drugs, reported by their manufacturer, are based on clinical trials. However, not all possible side-effects are identified, as their detection is limited by the extent of the number and diversity of the participants in the trials. Online medical help forums where patients voluntarily provide feedback on the drugs they take, provide an excellent source for identifying the unreported side-effects of drugs. Mining for these side-effects would help patients make informed decisions about the suitability of a drug for their treatment and also for health authorities to take appropriate action against drug manufacturers. In this paper we present a Hidden Markov Model based text mining system that can be used to extract adverse side-effects of drugs from online medical forums.
Starting Page	150
Ending Page	150
File Size	267199
Page Count	1
File Format	PDF
ISBN	9781467348034
e-ISBN	9780769549217
DOI	10.1109/HISB.2012.75
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drugs Text mining Hidden Markov models Clinical trials Educational institutions Biomedical imaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions

Mining Adverse Drug Reactions from online healthcare forums using Hidden Markov Model

Title:mining Adverse Drug Reactions from Online Healthcare Forums Using Hidden Markov Model

Mining Adverse Drug Reactions from online healthcare forums using Hidden Markov Model

Online Slicing Analysis in Adverse Drug Reaction Data Warehouse

Pixel saliency metric based pixel-level medical image fusion

Introduction to Data Analysis and Visualization in Biomedical Informatics Minitrack

Metamorphic viruses detection by hidden Markov models

Detecting encrypted metamorphic viruses by hidden Markov Models

Mining Adverse Drug Side-Effects from Online Medical Forums

Similar Documents

Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions

Mining Adverse Drug Reactions from online healthcare forums using Hidden Markov Model

Title:mining Adverse Drug Reactions from Online Healthcare Forums Using Hidden Markov Model

Mining Adverse Drug Reactions from online healthcare forums using Hidden Markov Model

Online Slicing Analysis in Adverse Drug Reaction Data Warehouse

Pixel saliency metric based pixel-level medical image fusion

Introduction to Data Analysis and Visualization in Biomedical Informatics Minitrack

Metamorphic viruses detection by hidden Markov models

Detecting encrypted metamorphic viruses by hidden Markov Models

Mining Adverse Drug Side-Effects from Online Medical Forums