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brandonb
searching PlanetScale…
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42 ms
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811.
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30 Things I Learned at Machine Learning for Healthcare Conference
(irenechen.net)
2 points
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brandonb
9y ago
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0 comments
812.
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brandonb
9y ago
I'd guess it's a 136 thousand run rate, and there's just a typo in the article. $136 million would really be something.
813.
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Apple in talks with Aetna to bring Apple Watch to millions of customers
(techcrunch.com)
65 points
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brandonb
9y ago
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57 comments
814.
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Game of Thrones drama, not action, spikes heart rates on Apple Watch app
(mashable.com)
2 points
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brandonb
9y ago
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0 comments
815.
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brandonb
9y ago
This looks quite cool. Let me know if you'd like any feedback on the API.
816.
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Apple Watch sales up over 50% since last year
(techcrunch.com)
208 points
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brandonb
9y ago
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266 comments
817.
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O'Reilly Artificial Intelligence Conference
(conferences.oreilly.com)
1 points
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brandonb
9y ago
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0 comments
818.
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Apple Watch is about to get more useful with bands to track health symptoms
(cnbc.com)
2 points
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brandonb
9y ago
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0 comments
819.
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brandonb
9y ago
(Cardiogram co-founder here) 97% refers to c-statistic (area under the ROC curve).
820.
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brandonb
9y ago
Is it possible you're talking about blood oxygen saturation? http://www.cultofmac.com/320322/apple-watch-sensors-are-capa...
821.
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brandonb
9y ago
You'll find most most medical algorithms pretty disappointing. :) For example, the algorithm in implantable cardioverter defibrillators generates unnecessary shocks in 1 in 6 patients. Its accuracy is getting worse over time: http:&#x
822.
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brandonb
9y ago
Full journal publication is coming--as you likely know, the system doesn't always move as fast as we'd like. > quick back of the envelope calculation a positive test result is still 5× more likely to be a false positive than a
823.
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brandonb
9y ago
This is exactly right—the benefit is to prevent strokes by detecting undiagnosed atrial fibrillation.
824.
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brandonb
9y ago
Circulation published a nice review this week on the rationale for atrial fibrillation screening: circ.ahajournals.org/content/135/19/1851.full?ijkey=StzSPk8eljGaP2G&keytype=ref The main reason is that 10% of strokes
825.
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brandonb
9y ago
Thanks! You can use the Cardiogram app today to understand your heart rate data: https://itunes.apple.com/us/app/cardiogram/id1000017994?ls=1... We'll be incorporating these results into the app itself o
826.
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brandonb
9y ago
First validation study is on atrial fibrillation, although we've had users who have discovered other arrhythmias through the app. Here's on example of a person who discovered supraventricular tachycardia: https://blog.c
827.
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brandonb
9y ago
Here, 97% accuracy refers to a c-statistic (area under the ROC curve) of 0.9740. An example operating point would be 98% sensitivity with 90% specificity. For reducing false positives, rather than starting with the general population, it&#x
828.
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brandonb
9y ago
(Cardiogram Co-Founder here) Let me know if any of you have questions on the study, app, or deep learning algorithm. My colleague Avesh wrote a post with a little more technical detail here: https://blog.cardiogr.am/applying
829.
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Applying Artificial Intelligence in Medicine: Our Early Results
(blog.cardiogr.am)
6 points
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brandonb
9y ago
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0 comments
830.
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UCSF Study shows Apple Watch can detect an early sign of heart disease
(macworld.com)
2 points
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brandonb
9y ago
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0 comments
831.
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Apple Watch can detect arrhythmia with 97% accuracy, study says
(techcrunch.com)
342 points
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brandonb
9y ago
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72 comments
832.
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brandonb
10y ago
This could be a signal that people who don't visit the doctor often are more likely to develop CVD. It makes sense—if caught early, risk factors like high BMI, high blood pressure, and high LDL cholesterol can be treated and thereby pr
833.
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brandonb
10y ago
As others pointed out, it's an overreach to call this artificial intelligence. What the authors showed is that by training standard machine learning algorithms (random forests, logistic regression, gradient boosting, and a shallow neur
834.
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Residual LSTM: Deep Recurrent Architecture for Distant Speech Recognition
(arxiv.org)
2 points
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brandonb
10y ago
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0 comments
835.
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Apple Watch can tell you when you’re going to get sick
(computerworld.com)
1 points
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brandonb
10y ago
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0 comments
836.
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Why Is Healthcare Reform So Complicated?
(a16z.com)
1 points
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brandonb
10y ago
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3 comments
837.
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Deep Learning to Detect Cancer Metastases on Pathology Images
(drive.google.com)
2 points
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brandonb
10y ago
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0 comments
838.
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Apple Watch users kept their fitness New Year's Resolutions (N=34,369)
(businessinsider.com)
1 points
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brandonb
10y ago
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0 comments
839.
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Disabling the click delay in UIWebView
(blog.persistent.info)
26 points
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brandonb
10y ago
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0 comments
840.
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brandonb
10y ago
Another idea is one-shot learning using deep generative models. DeepMind had a paper on this last year: https://arxiv.org/abs/1603.05106
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