Top Tweets for #PopHealthAI
Hey @LauraCRosella @doug_manuel and others interested in #PopHealthAI -- let's get Canadian data used by Canadian researchers.
⚡️ “What Can AI Do for Population Health? #PopHealthAI” Check out our moments from the @PopHlthAnalytic symposium featuring @ihpmeuoft and @uoft_dlsph faculty. https://t.co/5AGlv3kPcZ
Sending a huge thank you to @LauraCRosella and her team @PopHlthAnalytic for putting on a wonderful event yesterday at #PopHealthAI! We had multiple students from @uoftmedicine in attendance and everyone walked out learning a TON!
Excited to be at AI and Population Health today ! #PopHealthAI
Remember that "ML is maths, not magic"
@PopHlthAnalytic Thanks for the invite! #PopHealthAI was a great day. Looking forward to putting some of the thoughts we had today into practice for research AND training.
Interesting discussions at #PopHealthAI today re ML, stats, and healthcare. Main takeaway for myself: an inclusive environment is much more enjoyable and productive. More methods means potentially more opportunities to help more people.
Panelist @enenbee recommends that we focus on developing understanding of #AI in both #math and non-math focused disciplines to ensure that our future #workforce is capable of working effectively in this space #PopHealthAI
Great message from Claudia Sanmartin from Stats Can ´data science is a team skill’ #pophealthAI @PopHlthAnalytic
Closing #PopHealthAI panel is about education - how can we develop talent and capacity in #AI to improve population health? Emphasis on the importance of interdisciplinary collaboration
“Data science is inherently a team sport,” not all skills lie in the same cranium. #PopHealthAI
Great advice for anyone in academia: “Have stakeholders involved to make sure the stars are aligned. It doesn’t always work to line up the stars after you’re done your project.” says Anna Goldenberg #PopHealthAI @UofT_dlsph
Great methods panel focused on how AI can benefit population health risk prediction. Key messages: 1) fit for purpose; 2) methods are second to proper study design; 3) transparency in reporting is key 4) the need to rethink how statistics is being taught. #PopHealthAI
An interesting sub-field of #ML worth checking out: "Misspecified models and what they’re good for”, says Anna Goldenberg of @VectorInst and @SickKidsNews #PopHealthAI
Talking about the intersection of Epi/Statistical/ML methods at the #PopHealthAI symposium with an all-star panel. Study design and well-delineated research questions are foundations of all. @PopHlthAnalytic @UofT_dlsph
“We don’t teach statistics that well either. I would really like us to spend time on the education component & data science. Education where people are sitting around and working on the same problem.” says @robertwplatt #PopHealthAI @UofT_dlsph 2/2
“We need to know how machine learning professionals are being taught. They don’t know the “c” word - confounding.” says @danlizotte #PopHealthAI @UofT_dlsph 1/2
Fantastic panel discussion on role of AI and population risk prediction! @LauraCRosella @robertwplatt @PopHlthAnalytic #PopHealthAI
"If you went to #ICML 95% of people would think TRIPOD is what you put your camera on." Key insights on gaps in knowledge when it comes to applied ML for health coming out at #PopHealthAI
Sad I couldn’t attend the @UofT_dlsph #PopHealthAI event today! I’ll be watching #PopHealthAI for updates
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