Top Tweets for #BigdataforPV2
David Martin @US_FDA describes development of MyStudies App, an open source app that is secure to regulatory standards and is used to collect #drugsafety data from invited patients #BigDataforPV2 #BigData #Pharmacovigilance https://t.co/MSiTHn2Ial
Eva-Lisa Meldau @eva_1isa explained how we can protect patient confidentiality when using #BigData for #Pharmacovigilance, specifically use of natural language processing to remove patient identifiers from case narratives #BigDataforPV2 https://t.co/MSiTHn2Ial @UMCGlobalSafety
Pantelis Natsiavas @pnatsiavas @CERTHellas describes #OpenPVSignal, a tool which supports data linking for electronic exploration of signal reports, according to #FAIR data principles #BigDataforPV2 #BigData #Pharmacovigilance https://t.co/MSiTHn2Ial
Will Dixon @FBMH_UoM details some recent advances in Digital #Epidemiology: smart phones owned by 80% of people provide opportunities for epi studies with large enrolment and repeated measurements @WGDixon #BigDataforPV2 #BigData #Pharmacovigilance https://t.co/MSiTHn2Ial
Are you attending @DSRUDrugSafety's #BigDataforPV2 conference today? Then don't miss our data scientist @eva_1isa and her work on protecting patient confidentiality while using #BigData for #pharmacovigilance. Read more about her research here: https://t.co/Eq9Bj85DXr
John Rigg @IQVIA_UK : there is most to gain from use of machine learning when (a) a prediction is required, (b) the data is complex, (c) partial transparency is sufficient and (d) simplicity is not required. #BigDataforPV2 #BigData #Pharmacovigilance https://t.co/MSiTHn2Ial
Nigel Hughes: @IMI_EHDEN is a federated data network, so all data stays local. ENDEN sends queries to those local data sources then curates the responses that are returned #BigDataforPV2 #BigData #Pharmacovigilance https://t.co/MSiTHn2Ial
Nigel Hughes provides an update on the European Health Data & Evidence Network @IMI_EHDEN, which takes a systemised approach to support real world research. #BigDataforPV2 #BigData #Pharmacovigilance https://t.co/MSiTHn2Ial
Michael Hughes @SciBite explains how drug labels can be mined for safety risks related to genetics. #BigDataforPV2 #BigData #Pharmacovigilance https://t.co/MSiTHn2Ial
Niklas Noren @UMCGlobalSafety: one lesson learned in developing and deploying machine learning for #pharmacovigilance is that it’s possible to make use of even very raw data #BigDataforPV2 #BigData https://t.co/MSiTHn2Ial
Niklas Noren @UMCGlobalSafety: it’s important to detect duplicates in spontaneous reports, Vigimatch uses a hit-miss model to achieve duplicate detection. #BigDataforPV2 #BigData #Pharmacovigilance https://t.co/MSiTHn2Ial
.@SaadShakirDSRU at #BigDataforPV2: Is Big Data a real opportunity or fool's gold? It's a real opportunity provided it is handled wisely #BigData #pharmacovigilance
Are you attending @DSRUDrugSafety's #BigDataforPV2 conference this week? Then don't miss our chief science officer @Niklas_Noren illustrating the best use of #MachineLearning for #pharmacovigilance.
For further information see https://t.co/MSiTHmL6LL #BigdataforPV2 #BigDataforPV #BigData #Pharmacovigilance
Artificial Intelligence has a key role to play in harnessing #BigData for #Pharmacovigilance. Hear John Rigg @IQVIA on realising the full potential of artificial intelligence in big populations at our #BigDataforPV2 conference next week https://t.co/MSiTHn2Ial
Join us at next week's #BigDataforPV2 conference to hear @Niklas_Noren and many other brilliant speakers cover #BigData from all angles. https://t.co/MSiTHn2Ial
How can #MachineLearning be best developed and deployed to support #pharmacovigilance? Listen to UMC's chief science officer @Niklas_Noren at @DSRUDrugSafety's #BigDataforPV2 conference. Register here: https://t.co/cJQ3RsmPRT
There's still time to register for next week's conference! https://t.co/MSiTHn2Ial #BigDataforPV2
How can we protect patient confidentiality when using #BigData for #pharmacovigilance? At @DSRUDrugSafety's #BigDataforPV2 conference, you can hear how UMC's @eva_1isa is using #NLP to remove patient identifiers from case narratives. Register here: https://t.co/cJQ3RsmPRT
How can we protect patient confidentiality when using #BigData for #pharmacovigilance? At @DSRUDrugSafety's #BigDataforPV2 conference, you can hear how UMC's @eva_1isa is using #NLP to remove patient identifiers from case narratives. Register here: https://t.co/cJQ3RsmPRT
How can #MachineLearning be best developed and deployed to support #pharmacovigilance? Listen to UMC's chief science officer @Niklas_Noren at @DSRUDrugSafety's #BigDataforPV2 conference. Register here: https://t.co/cJQ3RsmPRT
How can machine learning be best developed and deployed to support #Pharmacovigilance? Hear Niklas Noren @UMCGlobalSafety at our #BigDataforPV2 conference. Info and bookings: https://t.co/MSiTHmL6LL #BigData #Pharmacovigilance
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