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I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

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Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#211

Post by theshrike79 »

creatonez wrote: post #197
theshrike79 wrote: post #96

Earlier quoted context omitted.

ChatGPT will actually look at your whole medical history, listen to you, think and check multiple different options before making a decision. You can spend hours chatting with it back and forth. An average human doctor has maybe 15 minutes allotted to getting to know you, analyse and determine a course of action. Which is usually "take some ibuprofen and let's see if it goes away". Then you go again in two weeks with…

> has maybe 15 minutes allotted to getting to know you [...] Then you go again in two weeks with the same thing, it's a different doctor and the context has been reset This is not how doctors work in most of the world. Not having an actual primary care physician that is able to keep track of each patient over multiple years means they are skipping out on one of their most important duties. You should advocate for a b…

All of the country of Finland works like that.

Nobody sees the same doctor twice except in very rare cases - usually when the doctor is a specialist with no alternative

Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#212

Post by rurban »

I use the free Huawei Health for like 2 years, and it was pretty good so far. The sensors suck of course, but better than nothing. I had a special watch to test my high blood pressure, but even this never matched my special pressure device.

Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#213

Post by theshrike79 »

SirMaster wrote: post #165
theshrike79 wrote: post #144

Earlier quoted context omitted.

Some of the metrics were out of whack, I think my average body temp was up along with my resting heart rate both asleep and awake. It somehow takes all that and gave me a "you might be sick" notification.

How is that predicting in advance though? Sounds like it measured active symptoms like a change in body temp etc. That's not prediction, that's reaction.

Device detects 0.1 degree average temp increase. I don’t.

Like your car will start with a small noise first, you can’t hear it. But in time the small noise becomes a big noise just before things break.

If you catch it in the small noise part, you can proactively prepare.

Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#214

Post by csa »

sotix wrote: post #198
jermaustin1 wrote: post #140

Earlier quoted context omitted.

As a person who has been told I'm "morbidly obese" for decades now, I will say that doctors at almost every level look at your chart not you. I've been told time and time again that until I get my weight under control, my health will suffer. I'm 5'8" and weigh on average 210lbs. My BMI isn't even morbidly obese, it is 31, which is just "regular" obese, but on top of that, a DEXA scan shows that I am actually only 25%…

I'd consider 5'8 and 210lbs morbidly obese. An average male at 5'8 should generally weigh about 150lbs and no more than 164lbs.

> I'd consider 5'8 and 210lbs morbidly obese. An average male at 5'8 should generally weigh about 150lbs and no more than 164lbs

You would consider incorrectly then.

This person has ~155 pounds of lean body mass. 164 would put him at roughly a body builder level of fat, which basically requires a part time job in cooking and nutrition to maintain.

For reference, I’m in a similar situation to this person. I’m 5’11” (180cm) and about 200 lbs (91kg) with about 170 lbs of lean body mass. My dexa scan says that I’m 15% body fat, but I get the same lectures from doctors about being obese and needing a lifestyle change, all based on BMI and (I assume) my size (I’m barrel chested). It’s completely absurd.

Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#215

Post by smcl »

port11 wrote: post #204
smcl wrote: post #97

Earlier quoted context omitted.

Apple Watch is pretty poor at estimating VO2 max and it seems to be more correlated with how often you record exercises with said watch than with your actual health. For example I watched mine climb slowly as I prepared for my football season (beyond 50), then after the season started I I ended up playing and training just as frequently but without wearing the watch. After a few weeks (of me training and playing hard…

I really don’t know whether to trust that specific measurement. When I was a very active runner and doing intervals to improve per-km time, my VO2max went from 38 to 42. I decided to do a professional VO2max test and got a 46. Now, 2 years later, I don’t run due to injury and a kid, and it’s resting at 34. For reference, when I went to the gym almost everyday and ran once or twice a week, the value was 32. I don’t ge…

Yeah so I know it's meant to be an estimate, but my experience of it is kinda fucky. I would really love to swap watches with an Olympic athlete (idk if they'd bother with an Apple Watch but bear with me!) and run 10k to see what the VO2 max reading for that exercise was. As I said, I think to me it's some estimate that heavily involves some "average of last N readings from the Apple VO2 max calc" function so even if you time travelled and gave it to Eilish McColgan or Mo Farah they'd be like "ehhh you had quite a good run, fatty - you jumped from 44.3 to 45"

I'm not that bothered of course. For me it's just a fun metric I can attempt to optimise when training.

Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#216

Post by Spivak »

XorNot wrote: post #148
tclancy wrote: post #129

Earlier quoted context omitted.

I dunno, basing life decisions off a metric that has a fudge factor built into it to make the regression work feels sub-optimal to me.

BMI underestimates in most cases and your body fat is higher then the chart would predict. When people say "oh BMI isn't accurate" it means you are more overweight then it suggests unless you are literally an extreme body builder.

This underestimation has a name, "Normal Weight Obesity." Known by the slang "hot guy/girl fit" where the person looks like they would be physically fit because they're skinny but there's no muscle under there.

Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#217

Post by tharkun__ »

xenonite wrote: post #82
tharkun__ wrote: post #60

Earlier quoted context omitted.

This reminds me of another recent comment in some other post, about doctors not diagnosing "hard to diagnose" things. There are probably ("good") reasons for this. But your own persistence, and today the help of AI, can potentially help you. The problem with it is the same problem as previously: "charlatans". Just that today the charlatan and the savior are both one and the same: The AI. I do recognize that most peop…

Interesting to read, thank you very much. Are you still eating ketogenic? The bacillus subtilis seems to metabolize glucose, so are yours still alive? And did you try other probiotica beforehand? I am having HIT and eating a mostly carnivore diet with mostly fresh/unfermented meat.

I no longer do keto no. I also started keto after I had gotten better already from the probiotics but not much. I'm not sure where you read about that subtilis can only live off of glucose. I'm having a hard time finding primary sources that actually talk about this but handily Google's "AI mode" also "answered" my search query and it does state it primarily thrives on glucose and sugars but can also break down and live off of proteins and fats.

FWIW, as I understand it, many probiotics aren't going to colonize on their own and "stick around" for a prolonged period of time when you stop taking them, even under good circumstances but you can't quote me on that so to speak. And in the past we would've gotten many of them through one way or another through our diet as well, just not through a probiotic but naturally.

I tried multiple probiotics. Both blends of multiple types as well as things like "Saccharomyces Boulardii"-only preparation. I don't recall all the exact ones I tried though.

Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#218

Post by jbverschoor »

vineyardmike wrote: post #49
fn-mote wrote: post #35

Earlier quoted context omitted.

> I fed my wife's blood work results into chatgpt and it came back with a terrifying diagnosis I don't get it... a doctor ordered the blood work, right? And surely they did not have this opinion or you would have been sent to a specialist right away. In this case, the GP who ordered the blood work was the gatekeeper. Shouldn't they have been the person to deal with this inquiry in the first place? I would be a lot mo…

You don't need a doctor to order bloodwork. I get a full panel done yearly, just to establish a baseline and trend. I try not to overanalyze it, and just keep it around for a professional in case some real issue arises in the future.

In some countries you do. The Netherlands for example

Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#219

Post by [deleted] »

FeteCommuniste wrote: post #124
inopinatus wrote: post #100

Earlier quoted context omitted.

Many of those metrics are population or sampling measures and are confounded by many factors at an individual level. The most notorious of which is BMI; it is practically a category error to infer someone's health or risk by individual BMI, and yet doing so remains widespread amongst people that are supposed to know better. Instrumentation and testing become primarily useful at an individual level to explain or inves…

> The most notorious of which is BMI; it is practically a category error to infer someone's health or risk by individual BMI, and yet doing so remains widespread amongst people that are supposed to know better. BMI works fine for people who aren't very muscular, which is the great majority of people. Waist to height ratio might be more informative for people with higher muscle mass.

[deleted]

Re: I let ChatGPT analyze a decade of my Apple Watch data, then I called my doctor

#220

Post by [deleted] »

FeteCommuniste wrote: post #124
inopinatus wrote: post #100

Earlier quoted context omitted.

Many of those metrics are population or sampling measures and are confounded by many factors at an individual level. The most notorious of which is BMI; it is practically a category error to infer someone's health or risk by individual BMI, and yet doing so remains widespread amongst people that are supposed to know better. Instrumentation and testing become primarily useful at an individual level to explain or inves…

> The most notorious of which is BMI; it is practically a category error to infer someone's health or risk by individual BMI, and yet doing so remains widespread amongst people that are supposed to know better. BMI works fine for people who aren't very muscular, which is the great majority of people. Waist to height ratio might be more informative for people with higher muscle mass.

[deleted]
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