Top Tweets for #QSCVD
My belated reflections on the necessity of patient-collected data from the #quantifiedself cardiovascular conference in April and the recent #S4PM conference @S4PM @quantifiedself #QSCVD #SPM2018 https://t.co/yowLaneKfs
Takeaways from #quantifiedself Cardiac Health symposium in #sandiego. Where healthcare is going and what's stopping it from going there now. https://t.co/GKCH2HUxJ9 @Irish_TechNews @SimonCocking @quantifiedself #QSCVD #cholesterol #HealthTech
"[There’s a] perception that community, citizen or QS research is not as ‘good’ as other research. Why? Because I don’t have a PhD...That’s wrong." -@danamlewis at #qscvd on creating the infrastructure for participant-led research. https://t.co/xKKvwAUt2b #quantifiedself
“Within a few days we were able to identify the 20 most common triggers of atrial fibrillation. People with those triggers will be randomized to an intervention of their choice.”
-Jeffrey Olgin at #qscvd on getting to n-of-many-ones: https://t.co/c4u6Lg8LSR
My takeaways from #quantifiedself Cardiac Health symposium in #sandiego - so many learnings!! Where health is going and what's stopping it from going there now. Thank you @quantifiedself @agaricus @azure_dominique and everyone involved https://t.co/LIUd4DAl5l #QSCVD #cholesterol
“For the top 10% of people likely to be readmitted to the hospital, the best predictor of actual readmission was self-reported data.” @kimkater at #qscvd on incorporating self-collected into clinical research: https://t.co/bWRjYKPl8i #quantifiedself
Deeply exploring one person's data can reveal unnoticed phenomena, such as heart rate and skin temperature predicting the onset of sickness days in advance. Xiao Li at #qscvd on finding the signal in a wealth of self-collected data: https://t.co/UysgBhwaAo #quantifiedself
"This might be the first project to look at what human cholesterol does over a regular menstrual cycle at high temporal resolution." -@phenatypical at #qscvd https://t.co/8lQhS2QEHt #quantifiedself
"Time is an under-appreciated variable in clinical medicine. Only if we understand the variability associated with health can we discern the patterns associated with disease." -@CarstenSkarke at #qscvd. https://t.co/o5PBkjpLkx #quantifiedself
Laila Zemrani (@lailazem ) wrote an excellent post on combining high-frequency cholesterol testing with training for the New York Marathon as a part of the QS Bloodtesters group experiment: https://t.co/46lDGnv6tr #qscvd #quantifiedself
"We need to learn from high frequency measures not just of glucose but body temperature, cortisol, heart rate and blood pressure. They are all dynamic and under circadian control." -@DorothySears13 at #qscvd https://t.co/MQEbvraeEF #quantifiedself
.@azure_dominique on lessons from Blood Testers:
"Small group research with participants who are very curious to learn about themselves is a powerful tool for learning about human physiology."
https://t.co/giywvTvlz9
#qscvd #quantifiedself
From @iPancreas: “I measured my lipids on very low carb, moderate carb, and high carb diets. The correlation between total calories and HDL-c is similar in strength to the correlation between carbohydrates and HDL-c.” https://t.co/KZ29yK2fmP #qscvd #quantifiedself
From @HugoOC: "In 2007, I learned that my implantable defibrillator could and would be monitored remotely. I was very excited and I asked the doctor, what is the URL for the patient website? He said, 'there is no patient website'": https://t.co/WaksM5IvhB #qscvd #quantifiedself
From @rdmirza: Although #quantifiedself is a recent term, single-subject science goes back to the 16th century. N-of-1 is relatively cheap and can greatly benefit the individual patient. So what role does it play in medicine today? #qscvd https://t.co/NRUzDWIXMW
My talk from #QSCVD is up, check it out to learn more about the future of my research on wearables for patients with heart failure https://t.co/TzgogJbF9I
This event was too interesting not to write about, even if it's a week later :)
#QSCVD #QuantifiedSelf
The 2018 Quantified Self Symposium: The Future of Self-Collected Data and Single-Subject Research
https://t.co/m0N5KTUTLO
If you missed the livestream of our #quantifiedself Public Health Symposium last week, you can watch the entire recording of the event: https://t.co/NzYxqPn5FK #qscvd
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