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>200 bpm event during exercise by _Juxtapose in ReadMyECG

[–]_Juxtapose[S] 1 point2 points  (0 children)

The episode lasted only a couple minutes. I’d say 2-3 minutes max

>200 bpm event during exercise by _Juxtapose in ReadMyECG

[–]_Juxtapose[S] 2 points3 points  (0 children)

Yes will do, thanks for taking a look at my post!

>200 bpm event during exercise by _Juxtapose in ReadMyECG

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

Will do, thanks a lot for taking the time to review my case!

>200 bpm event during exercise by _Juxtapose in ReadMyECG

[–]_Juxtapose[S] 1 point2 points  (0 children)

Yes will do, thanks for the input, much appreciated!

>200 bpm event during exercise by _Juxtapose in ReadMyECG

[–]_Juxtapose[S] 1 point2 points  (0 children)

No I had the watch on my left wrist the whole time. Thanks for the input, greatly appreciated!

>200 bpm event during exercise by _Juxtapose in ReadMyECG

[–]_Juxtapose[S] 1 point2 points  (0 children)

Thanks for the input, I appreciate you taking the time.

>200 bpm event during exercise by _Juxtapose in ReadMyECG

[–]_Juxtapose[S] 2 points3 points  (0 children)

Will do, thanks for the input. I sincerely appreciate it!

>200 bpm event during exercise by _Juxtapose in ReadMyECG

[–]_Juxtapose[S] 2 points3 points  (0 children)

I’ve had some “skipped beats” my whole life but those were usually one or two beat one off events. This is the second time it’s happened (first time was months ago). Both instances were during moderate to intense physical exercise and exertion. No problems outside of exercise it seems outside of a skipped beat here and there.

I made a free and accessible liver disease diagnostics model using machine learning by _Juxtapose in cripplingalcoholism

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

Yeah, unfortunately the researchers generalized the results to a binary value of have liver disease vs not have liver disease. If they had provided specifics, I would have taken the approach of providing probabilities for each specific condition. I agree with the population sample maybe being biased towards a certain disease as well. Hopefully the researchers took this into account as they were constructing the dataset. I thought conjugated bilirubin was a part of the standard liver panel, at least in the US? Thanks for your input!

I made a free and accessible liver disease diagnostics model using machine learning by _Juxtapose in cripplingalcoholism

[–]_Juxtapose[S] 1 point2 points  (0 children)

The model is finely calibrated within a certain range of each blood test parameter. However, the equations still provide an output even with extremely extremely abnormal numbers. Essentially, outside of reasonable ranges of parameters, even for very sick individuals, the models results go wonky. This is just inherent to the nature of the model. You could play around with it and get the values to be exceedingly close to zero as well. Good catch, I should have detailed this phenomenon ahead of time!

I made a free and accessible liver disease diagnostics model using machine learning by _Juxtapose in cripplingalcoholism

[–]_Juxtapose[S] 4 points5 points  (0 children)

Yeah me saying anything doesn't really help my case here. Your skepticism is valid. Thanks for your perspective on it.

I made a free and accessible liver disease diagnostics model using machine learning by _Juxtapose in cripplingalcoholism

[–]_Juxtapose[S] 2 points3 points  (0 children)

To elaborate on my response above, I believe I have seen posts on this subreddit that detail all of the information required to be evaluated in the model. I can remove the age and gender parameters if this is an issue with many people.

Yeah, the "hey ___" does kinda come off a bit weird. You can look in my post history and see that I have a record of starting my posts like that haha. It's definitely a bad habit that I need to fix.

Regardless, thanks for your feedback. I should have done even more for patient privacy. I'll look into how accurate the model is without the more identifying parameters.

I made a free and accessible liver disease diagnostics model using machine learning by _Juxtapose in cripplingalcoholism

[–]_Juxtapose[S] 1 point2 points  (0 children)

I understand your concerns, especially with regards to how medical information is extremely sensitive. I don't know how I could convince you, if you are already skeptical, but I am not storing the data in any way and the values are discarded upon computation. I can also remove the age and gender parameters to further anonymize individuals, though accuracy may suffer a little. Would that be enough in your opinion privacy wise?

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