How can millions of data shared by people living with #diabetes#PWD all around the world help to better understand #diabetes burden?
Look at our recent publication, from our World Diabetes Distress Study
👉Long story short: it helps a lot!
A thread 🧵
@vkhetan_iit Thanks for the kind words! 😉 Certainly a nice story that grew out from this collaboration!
Hope to see you soon again and this time in europe ;-)
Our paper on extracting both explicit and implicit cause-effect relationships in patient-reported diabetes tweets using deep learning has been published. Check it out 👇👇
New JMIR MedInform: Extraction of Explicit and Implicit Cause-Effect Relationships in #patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach https://t.co/bYpuVWoIIq
Secondly, cause-effect pairs were identified in causal sentences with several models tested.
Lastly, in a semi-supervised approach cause-effect pairs were aggregated to form a cause-effect network, which was visualised in D3.
Check it out -> https://t.co/fpknuHkxow
Can we use social media data to emulate cohort studies for epidemiological research?
This is one of the questions we are trying to address in the Deep Digital Phenotyping research lab at @LIH_Luxembourg
But, why?
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30 millions de tweets américains passés au crible de l’#IA pour faire ressortir les grands thèmes associés à la détresse liée au #diabète selon les patients
https://t.co/VWayI2svkH
Congrats to 👏 👏 👏 To Adrian Ahne @adrahne, having completed his PHD at Epiconcept, and who is now a Doctor in digital Epidemiology! 🙌 We are all very proud of his success!
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Yesterday I successfully defended my thesis after three exciting and intense years🥳🥳
I would like to particularly thank my thesis director @GFaghe for his constant support, the freedom he gave me and outstanding supervision. What a journey!!
And a last thanks to all my colleagues at @EtudeE4N for their warm welcome and cheerfulness and the friends I met there which made those 3 years very joyful☺️☺️
An additional thank you to my thesis committee Dr. Tubert-Bitter, Prof. Bringay, Dr. Diallo (@gayodiallo ), Dr. Charles and Dr. Hulman (@adamhulman ) for having accepted to evaluate my work and their rich reflexions on my work and interesting discussions!