Discussion in 'BioMedical ME/CFS News' started by Andy, Feb 14, 2018.
not so good for Suffolk
I know, but his appointment is for the wider more common good.
Know anyone who wants this job?!!
Read about his research here, https://cureme.lshtm.ac.uk/researchers/our-collaborative-researchers/
It will be good to have some replication of the 2018 study on this topic that was done by Unger and others.
I am honoured and delighted to be a part of this effort.
The CureME team during my presentation saw an opportunity in using text data they had from patient questionnaires. So after my presentation we started working on applying Named Entity Recognition (NER) to transform the text data to structured data.
This transformation enabled us to enrich the patient data with supplement and medications information and analyse this data to see associations with symptoms and many more interesting insights. We now have the mechanism to do the same data transformation to hundreds of thousands of patient records within a few minutes !
It might be worth trying to get in touch with OMF again regarding their Analyzing Patient Data study now that you have a solid example with real data.
Great idea, Thank you. I will mention this to the CureME team next week !
Brilliant - thank you @mariovitali
I received an email from APHA yesterday, it seems that there is a Big Data / Machine Learning section in the presentations :
We will be the first to start (20 minutes presentation)
I just got back from Philadelphia and wanted to share my experience in presenting our joint effort with the CureME team. We were the first to begin the sessions on Big data and Machine Learning applied to Healthcare with Kathleen Mudie from the CureME team giving a great presentation to around 60 people. At the end i joined Kathleen to answer the technical questions on the methodology we used.
Someone from the CDC (Centers for Disease Control and Prevention) / National Center for Health Statistics approached us after the presentation and congratulated us for presenting a "trully groundbreaking" work, saying that these technologies will transform Healthcare in several ways. Usually there is a clash between Data Miners / Data Scientists vs Statisticians because -in all fairness- most techniques used have their core to statistics but him -being a statistician- was very open regarding these techniques.
I also had the chance to explain to him more about my work and my attempt to research ME/CFS and was waiting for his comments almost in agony because he was very keen in identifying problems in the methodologies that others presented. Again, he said that this is groundbreaking work that should be published. His very positive reactions really gave me the strength to keep trying until finally someone accepts to apply these technologies to research ME/CFS more extensively.
I want to Thank Kate Mudie and all of the CureME team for giving me this opportunity.
Congratulations, @mariovitali. Very well done.
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