Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17239, first published .
Managing Illicit Online Pharmacies: Web Analytics and Predictive Models Study

Managing Illicit Online Pharmacies: Web Analytics and Predictive Models Study

Managing Illicit Online Pharmacies: Web Analytics and Predictive Models Study

Authors of this article:

Hui Zhao1 Author Orcid Image ;   Sowmyasri Muthupandi2 Author Orcid Image ;   Soundar Kumara3 Author Orcid Image

New in JMIR: Managing Illicit #Online #Pharmacies: #Web Analytics and Predictive Models #Studyhttps://t.co/TttD2uW7yQ

2:27 PM · Aug 25, 2020

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Managing Illicit Online Pharmacies: Web Analytics and Predictive Models Study https://t.co/EAbtVIEaKW

3:10 PM · Aug 25, 2020

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Managing Illicit Online Pharmacies: Web Analytics and Predictive Models Study https://t.co/sXtDR1o2x5

4:35 PM · Aug 25, 2020

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5/ We have licensing boards for a reason, and we should not circumvent them. Read the paper at: https://t.co/du1ZzKHURk

7:25 PM · Aug 28, 2020

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An algorithm designed to spot illicit #OnlinePharmacies could help protect consumers from substandard and… https://t.co/wRVOGrnxu5

6:51 AM · Sep 08, 2020

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RT @FIP_BPS: An algorithm designed to spot illicit #OnlinePharmacies could help protect consumers from substandard and #CounterfeitMedicine…

7:05 AM · Sep 08, 2020

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New research by @penn_state professors @SoundarKumara and Hui Zhao uses predictive modeling framework to identify l… https://t.co/DfuDnpRafr

8:42 PM · Nov 12, 2020

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RT @BuySafeRx: New research by @penn_state professors @SoundarKumara and Hui Zhao uses predictive modeling framework to identify legitimate…

9:43 PM · Nov 13, 2020

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