This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1456) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1789) Substance Abuse (469) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Machine Learning (1738)

Published on in Vol 20, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10029, first published .
Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Authors of this article:

Tim Mackey1 Author Orcid Image ;   Janani Kalyanam2 Author Orcid Image ;   Josh Klugman3 Author Orcid Image ;   Ella Kuzmenko3 Author Orcid Image ;   Rashmi Gupta4 Author Orcid Image
Article Authors Cited by (67) Tweetations (21) Metrics
All Time | Last Month | Last Six Months | Last Year
fredbarney fredbarney @yabbadabbadoo99

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: U… https://t.co/3fxx6qFlkF

1:06 PM · Apr 27, 2018

0
0
Sven Awege Sven Awege @SVENNIECO

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: U… https://t.co/0RqQ70zJyW

1:07 PM · Apr 27, 2018

0
0
JMIR Publications JMIR Publications @jmirpub

New in JMIR: Solution to Detect, Classify, and Report Illicit #Online Marketing and Sales of Controlled Substances… https://t.co/e1Rh5DdmNw

1:33 PM · Apr 27, 2018

2
2
Timothy Ken Mackey Timothy Ken Mackey @tkmackey

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: U… https://t.co/IsND3R3NzH

1:39 PM · Apr 27, 2018

3
2
Timothy Ken Mackey Timothy Ken Mackey @tkmackey

RT @jmirpub: New in JMIR: Solution to Detect, Classify, and Report Illicit #Online Marketing and Sales of Controlled Substances via #Twitte…

1:39 PM · Apr 27, 2018

2
2
George Nitzburg PhD George Nitzburg PhD @tech_shrink

RT @jmirpub: New in JMIR: Solution to Detect, Classify, and Report Illicit #Online Marketing and Sales of Controlled Substances via #Twitte…

2:22 PM · Apr 27, 2018

2
2
Niranjan Konduri Niranjan Konduri @N_Konduri

RT @tkmackey: Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machi…

4:51 PM · Apr 27, 2018

3
2
Language Language @languageML

RT @tkmackey: Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machi…

4:51 PM · Apr 27, 2018

3
2
Timothy Ken Mackey Timothy Ken Mackey @tkmackey

Our new #machinelearning #BigData research published today in @jmirpub detailing our solution to illegal #opioid ac… https://t.co/N2XHvT9LtU

11:26 PM · Apr 27, 2018

3
4
Kevin Clauson Kevin Clauson @kevinclauson

RT @tkmackey: Our new #machinelearning #BigData research published today in @jmirpub detailing our solution to illegal #opioid access onlin…

12:15 PM · Apr 28, 2018

3
4
JMIR Publications JMIR Publications @jmirpub

RT @tkmackey: Our new #machinelearning #BigData research published today in @jmirpub detailing our solution to illegal #opioid access onlin…

4:10 PM · Apr 28, 2018

3
4
Effy Vayena Effy Vayena @EffyVayena

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: U… https://t.co/CgLrDizLF8

4:17 PM · Apr 28, 2018

3
1
UC San Diego School of Medicine UC San Diego School of Medicine @UCSDMedSchool

RT @tkmackey: Our new #machinelearning #BigData research published today in @jmirpub detailing our solution to illegal #opioid access onlin…

2:13 PM · Apr 29, 2018

3
4
Libby Baney Libby Baney @libbybaney

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: U… https://t.co/PdM8aCk380

9:25 PM · Apr 29, 2018

2
0
gabrielregino gabrielregino @gabrielregino

Retweeted Buzzcovery (@Buzzcovery): Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of… https://t.co/fwTwgqkCPP

2:49 PM · Apr 30, 2018

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0
Anil Yadav Anil Yadav @CEOAnil

RT @EffyVayena: Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Mac…

3:48 PM · Apr 30, 2018

3
1
Juan C Ivancevich MD Juan C Ivancevich MD @Aller_MD

“Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter:… https://t.co/6j5I88weTu

7:00 PM · Apr 30, 2018

3
4
Interasma Interasma @Interasma

RT @Aller_MD: “Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Mach…

12:56 PM · May 01, 2018

3
4
Fundación Libra Fundación Libra @FUNDACIONLIBRA

RT @Aller_MD: “Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Mach…

12:58 PM · May 01, 2018

3
4
ARIAguideline ARIAguideline @ARIAGuideline

RT @Aller_MD: “Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Mach…

12:59 PM · May 01, 2018

3
4
SLaai SLaai @SocLatAlergia

RT @Aller_MD: “Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Mach…

1:01 PM · May 01, 2018

3
4
Vin Vashishta Vin Vashishta @v_vashishta

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: U… https://t.co/ZmcVJCbxnt

4:00 PM · May 03, 2018

1
0
AdriLaverdeT MD AdriLaverdeT MD @adrilaverdet_md

RT @tkmackey: Our new #machinelearning #BigData research published today in @jmirpub detailing our solution to illegal #opioid access onlin…

12:01 PM · May 04, 2018

3
4
Pitt Behavioral Health, Media, & Tech Pitt Behavioral Health, Media, & Tech @PittHealthTech

The aim of this study was to develop and deploy a methodology using machine learning to accurately detect the marke… https://t.co/TbE0830oMT

3:05 PM · May 07, 2018

0
2
George Nitzburg PhD George Nitzburg PhD @tech_shrink

RT @MTH_Pitt: The aim of this study was to develop and deploy a methodology using machine learning to accurately detect the marketing and s…

6:52 PM · May 07, 2018

0
2
Curation Traffic Curation Traffic @CurationTraffic

RT @MTH_Pitt: The aim of this study was to develop and deploy a methodology using machine learning to accurately detect the marketing and s…

6:55 PM · May 07, 2018

0
2
Gac Ciencia Forense Gac Ciencia Forense @GacetaCienForen

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter:… https://t.co/svsZEsVqFJ

4:30 AM · May 24, 2018

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