stuartbman

15 ms·

1.
by stuartbman 3mo ago
The difficulty with the generation study is that there is no way to selectively opt in/out; your child is sequenced and then the data is retained until you opt out (at which point it is still retained as part of historical releases). I
2.
by stuartbman 3y ago
Unsurprising. There's a poor economic argument for funding healthcare in the UK, other than it being used as a political football to win votes. The result is decades of underfunding and then massive tranches of funding to make headline
3.
by stuartbman 4y ago
Came here to say this. Both Seveneves and Fall have long unending psuedo-epilogues which add little to the main story, but also don't really wrap anything up satisfactorily either.
4.
by stuartbman 5y ago
I use CookBook which scans websites, and OCRs cookbooks with good success! I have all my regular recipes on there now https://thecookbookapp.com/
5.
The Oracle of Halicin: A Deep Learning Approach to Antibiotic Discovery(explainthispaper.com)
1 points by stuartbman 5y ago|0 comments
6.
The Oracle of Halicin: Antibiotic Discovery in the Age of AI(explainthispaper.com)
3 points by stuartbman 5y ago|0 comments
7.
by stuartbman 5y ago
Just finding this now after noticing the traffic spike (thanks!). Yes we are playing with doing this, however to be honest it's a very challenging task. You can extract the 'key information' from a paper, but abstractly summa
8.
by stuartbman 5y ago
Really disappointing to see a whole host of inaccuracies in this article, even beyond the artistic license you'd expect for the New Yorker. My own area of knowledge is in neuroscience so I'd focus on this. For instance, while its
9.
by stuartbman 5y ago
Sure, but its the corner of two rooms on two floors. Depending on what your house looks like, that's quite an undertaking to fit, it's destructive to the house, and doesn't replace your need for stairs.
10.
AI sepsis prediction algorithm learns to say “I don’t know”(explainthispaper.com)
4 points by stuartbman 5y ago|0 comments
11.
by stuartbman 5y ago
I can see the use of this for neurological disease, but far and away the most common reason for a stairlift is frailty (or sarcopenia, to be more precise) along with other musculoskeletal conditions like osteoarthritis. Generally in sarcope
12.
by stuartbman 5y ago
Everyone in the comments discussing the UX of scrolling in this setting- this is exactly how you look through a CT scan! And in the different planes, as in this page. Sure a slider is useful, but I think this is really authentic.
13.
The false hope of Explainable AI(explainthispaper.com)
2 points by stuartbman 5y ago|1 comments
14.
The false hope of current approaches to explainable AI in health care(explainthispaper.com)
3 points by stuartbman 5y ago|0 comments
15.
BERT pretrained on clinical notes doesn't leak sensitive data(explainthispaper.com)
1 points by stuartbman 5y ago|0 comments
16.
by stuartbman 5y ago
Hey HN, I've been sharing some of the articles about this website that I've set up for a little while, and been developing it based on your feedback. The aim is to simplify/explain/debullshit papers about AI in healthca
17.
ExplainThisPaper- Scientific papers for AI in healthcare, explained(explainthispaper.com)
3 points by stuartbman 5y ago|1 comments
18.
by stuartbman 5y ago
Yes this is why I'm not sure how it's been tested. In the scientific literature in many cases the data is anonymised and made available publicly or to those interested, but you can't always anonymise the data adequately, so a
19.
by stuartbman 5y ago
Completely agree. I've not seen it tested legally, but the EU now has a 'right to explanation' where automated decisions are made about people. This would prohibit closed ML from most arenas.
20.
by stuartbman 5y ago
That's fair- I've edited the title to make it more specific. I've not come across Bayesian but I'm going to add their research on the site to summarise down the line.
21.
by stuartbman 5y ago
One of the problems with closed models is that any model can be found to train on the 'wrong' data point. So e.g. a chest x ray reader determines that images taken with the machine in ICU indicate sicker patients than elsewhere- t
22.
by stuartbman 5y ago
Granted this is the review of a single model, but given that it's by one of the big players in the EMR space, it shows how challenging this problem is. Sepsis is easy to under-recognise, and difficult to identify reliably without lots
23.
Why Can't Epic's AI model Detect Sepsis?(explainthispaper.com)
14 points by stuartbman 5y ago|18 comments
24.
by stuartbman 5y ago
I can't comment on every use case, but I've recently been using htmx[1] with Django templates to provide sort-of async behaviour. For me it's the best of both worlds; I can specify my template and view as though it's a n
25.
Medical image generation: a comprehensive evaluation(explainthispaper.com)
2 points by stuartbman 5y ago|0 comments
26.
AI Better Predicts Pain in Black Patients(explainthispaper.com)
1 points by stuartbman 5y ago|0 comments
27.
Federated learning for predicting clinical outcomes in patients with Covid-19(explainthispaper.com)
1 points by stuartbman 5y ago|0 comments
28.
by stuartbman 5y ago
Anecdotally, my university has been paying for fewer and fewer journal subscriptions. I was looking through the literature the other day and about half of the articles I needed to access weren't subscribed to by my (large, redbrick) un
29.
by stuartbman 5y ago
Most journals are hybrid now, and offer a choice when publishing- either it's free for the author but kept behind a paywall, or the author pays up front. The article processing charges are really expensive- BMJ is £3,500, Lancet $5000,
30.
Disfigurement ≠ Villainy(twitter.com)
1 points by stuartbman 5y ago|0 comments

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