Literature DB >> 20351829

Measuring population health using personal health messages.

Brant Chee1, Richard Berlin, Bruce Schatz.   

Abstract

Personal health messages - inter patient communications within online communities; represent a new path towards providing continuous information about patient derived health status. We apply natural language processing techniques to personal health messages from online message boards to demonstrate the ability to track trends in people's positive or negative opinion (sentiment) regarding particular drugs over time. The significant changes in sentiment correspond to FDA announcements and other publicity. We envision such analysis as a scalable tool for pharmacovigilance hypothesis generation for possible adverse drug reactions.

Entities:  

Mesh:

Year:  2009        PMID: 20351829      PMCID: PMC2815419     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  4 in total

1.  Internet Health Monitors for Outcomes of Chronic Illness.

Authors: 
Journal:  MedGenMed       Date:  1999-09-02

2.  Cyclo-oxygenase-2 inhibitors versus non-selective non-steroidal anti-inflammatory drugs and congestive heart failure outcomes in elderly patients: a population-based cohort study.

Authors:  Muhammad Mamdani; David N Juurlink; Douglas S Lee; Paula A Rochon; Alex Kopp; Gary Naglie; Peter C Austin; Andreas Laupacis; Therese A Stukel
Journal:  Lancet       Date:  2004-05-29       Impact factor: 79.321

3.  Relationship between selective cyclooxygenase-2 inhibitors and acute myocardial infarction in older adults.

Authors:  Daniel H Solomon; Sebastian Schneeweiss; Robert J Glynn; Yuka Kiyota; Raisa Levin; Helen Mogun; Jerry Avorn
Journal:  Circulation       Date:  2004-04-19       Impact factor: 29.690

4.  The tell-tale heart: population-based surveillance reveals an association of rofecoxib and celecoxib with myocardial infarction.

Authors:  John S Brownstein; Margarita Sordo; Isaac S Kohane; Kenneth D Mandl
Journal:  PLoS One       Date:  2007-09-05       Impact factor: 3.240

  4 in total
  7 in total

1.  Predicting adverse drug events from personal health messages.

Authors:  Brant W Chee; Richard Berlin; Bruce Schatz
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Mining Social Media Data for Biomedical Signals and Health-Related Behavior.

Authors:  Rion Brattig Correia; Ian B Wood; Johan Bollen; Luis M Rocha
Journal:  Annu Rev Biomed Data Sci       Date:  2020-05-04

3.  Patient access to clinical notes in oncology: A mixed method analysis of oncologists' attitudes and linguistic characteristics towards notes.

Authors:  Jordan M Alpert; Bonny B Morris; Maria D Thomson; Khalid Matin; Roy T Sabo; Richard F Brown
Journal:  Patient Educ Couns       Date:  2019-05-07

4.  A Descriptive Study of the Prevalence and Typology of Alcohol-Related Posts in an Online Social Network for Smoking Cessation.

Authors:  Amy M Cohn; Kang Zhao; Sarah Cha; Xi Wang; Michael S Amato; Jennifer L Pearson; George D Papandonatos; Amanda L Graham
Journal:  J Stud Alcohol Drugs       Date:  2017-09       Impact factor: 2.582

5.  Designing and evaluating a clustering system for organizing and integrating patient drug outcomes in personal health messages.

Authors:  Yunliang Jiang; Qingzi Vera Liao; Qian Cheng; Richard B Berlin; Bruce R Schatz
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

Review 6.  Patient Participation and the Use of Ehealth Tools for Pharmacoviligance.

Authors:  Joëlle Berrewaerts; Laure Delbecque; Pierre Orban; Martin Desseilles
Journal:  Front Pharmacol       Date:  2016-04-11       Impact factor: 5.810

Review 7.  The Use of Social Media in Detecting Drug Safety-Related New Black Box Warnings, Labeling Changes, or Withdrawals: Scoping Review.

Authors:  Jae-Young Lee; Yae-Seul Lee; Dong Hyun Kim; Han Sol Lee; Bo Ram Yang; Myeong Gyu Kim
Journal:  JMIR Public Health Surveill       Date:  2021-06-28
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.