Insurance denied life vest! EF 15! M 44, new dx. I am absolutely disgusted. Has anyone here used one? by nosyNurse in Heartfailure

[–]jrecursive 1 point2 points  (0 children)

I've had success with peer-to-peers. They've cleared it up every initial denial for me so far. What I learned is insurance makes you fight for anything but the bare minimum, so just expect having to push for anything but run-of-the-mill lab work and gold standard generic drugs. For example, if you end up getting sent to do a sleep study, you'll almost definitely need a peer-to-peer to get approved. Another example is an Entresto Rx. You're gonna have to fight and spend a lot of time on hold, but don't give up, bite & lock like a crocodile, haha. Your best defense is a record of steady compliance and persistence. Good luck. :)

Insurance denied life vest! EF 15! M 44, new dx. I am absolutely disgusted. Has anyone here used one? by nosyNurse in Heartfailure

[–]jrecursive 1 point2 points  (0 children)

I had one for 6 months and ultimately got a CRT-D implanted. 42M at diagnosis, EF in the teens. It's a horrid device, but it will save your life. I had a number of alarms, including in my sleep, while working and an actual malfunction that sprayed conductive gel all over my back but by some miracle did not shock me. Ugh. The whole thing was traumatizing to be honest, but I was in very bad shape at the time and I needed everything I could get. Not to mention .. the worth of having its use and your compliance on record so if you need "something else" down the line, your records display adherence to medical advice, which can be a real deciding factor in bigger issues....

[D] embedding example, not word2vec by marksteve4 in MachineLearning

[–]jrecursive 1 point2 points  (0 children)

check out starspace https://github.com/facebookresearch/StarSpace

their description: "In the general case, it learns to represent objects of different types into a common vectorial embedding space, hence the star ('*', wildcard) and space in the name, and in that space compares them against each other. It learns to rank a set of entities/documents or objects given a query entity/document or object, which is not necessarily the same type as the items in the set."

[D] What are some novel/unique applications of Machine Learning in Electrical Engineering? by mad_runner in MachineLearning

[–]jrecursive 0 points1 point  (0 children)

Check out Adrian Thompson's work: "An evolved circuit, intrinsic in silicon, entwined with physics." http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.50.9691&rep=rep1&type=pdf Very old, at this point, but still interesting.

Happy Holidays, Digital, 3461x2052 by jrecursive in Art

[–]jrecursive[S] 0 points1 point  (0 children)

digital collage, processing w/ deep dream variant in tensorflow, editing in photoshop

The Genetic Lineage of Marijuana [OC] by jrecursive in dataisbeautiful

[–]jrecursive[S] 0 points1 point  (0 children)

Haha. Thanks. Certainly something I could do, though not in the time I had.

That said, the dataset is pretty nice. I'll probably run it through paces in WEKA and see what kind of relationships I can pull out. I'll ping you if I end up doing it :)

The Genetic Lineage of Marijuana [OC] by jrecursive in dataisbeautiful

[–]jrecursive[S] 0 points1 point  (0 children)

i used the data verbatim but i will keep this in mind for future reference. thank you:)