- Messages
- 57
So the first prototype is up. And by prototype, I mean barebones proof of concept.
This is every Reddit comment from February 2023 that the AI predicted higher than 30% was likely to be someone saying that a specific single treatment had a significant helpful effect on their personal health condition.
You can click the "Link" after the text to go to the Reddit page it came from to see it in context.
It has a lot of stuff that's not right, but you can tell it's getting there. All the comments at least seem in the ballpark of what I'm looking for. You can click Add Condition (not related to health conditions) up top and only select items greater than a certain probability of being the right thing. For example, you could set Probability greater than 0.6 (1 is the highest possible) to only get the ones it was highly confident about.
And you can sort by probability by clicking the arrow next to Probability in the header.
You can type a search term in the search box on the top right to narrow it down. For example, "cfs" to include all comments that include the word "cfs". You can't search multiple terms at this point unless they are right next to each other in the comment. It takes a couple seconds to return search results.
----
Still a lot of work to do. Mainly, I'll be continuing to add to the training dataset so that it gets better at finding the right comments. Even though I already have about 4000 comments in there, I guess it needs more.
Also, the plan is to have another AI that figures out what the treatment and condition is for each comment, so that it will be easier to organize and search. So that instead of searching for "cfs" in the raw text, which would include all comments that include the word "cfs", even if it's not related to the condition the user is mainly writing about, this AI would output "cfs" only if it is the relevant treatment. Or "acne" if the user is talking about that. Then you could search by this AI produced data.
And you could look at the number of people that were helped by one treatment versus another.
Also, I can use the data a comment was made to visualize if a treatment is getting more or less popular with time.
Here's an example I just saw on the first page after searching for "cfs" and probability greater than .6:
So, it's already returning some useful data.
This is every Reddit comment from February 2023 that the AI predicted higher than 30% was likely to be someone saying that a specific single treatment had a significant helpful effect on their personal health condition.
You can click the "Link" after the text to go to the Reddit page it came from to see it in context.
It has a lot of stuff that's not right, but you can tell it's getting there. All the comments at least seem in the ballpark of what I'm looking for. You can click Add Condition (not related to health conditions) up top and only select items greater than a certain probability of being the right thing. For example, you could set Probability greater than 0.6 (1 is the highest possible) to only get the ones it was highly confident about.
And you can sort by probability by clicking the arrow next to Probability in the header.
You can type a search term in the search box on the top right to narrow it down. For example, "cfs" to include all comments that include the word "cfs". You can't search multiple terms at this point unless they are right next to each other in the comment. It takes a couple seconds to return search results.
----
Still a lot of work to do. Mainly, I'll be continuing to add to the training dataset so that it gets better at finding the right comments. Even though I already have about 4000 comments in there, I guess it needs more.
Also, the plan is to have another AI that figures out what the treatment and condition is for each comment, so that it will be easier to organize and search. So that instead of searching for "cfs" in the raw text, which would include all comments that include the word "cfs", even if it's not related to the condition the user is mainly writing about, this AI would output "cfs" only if it is the relevant treatment. Or "acne" if the user is talking about that. Then you could search by this AI produced data.
And you could look at the number of people that were helped by one treatment versus another.
Also, I can use the data a comment was made to visualize if a treatment is getting more or less popular with time.
Here's an example I just saw on the first page after searching for "cfs" and probability greater than .6:
I actually have greatly reduced CFS symptoms include blood flow issues, pain, lactic acid build up, exertion issues, nerve issues, etc with slowing down my breathing. Sometimes it’s hard. But it works. Link
So, it's already returning some useful data.
Last edited: