mariovitali
Senior Member
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Wow, that's interesting. What is the name of the software?
There is no name for it, it is a methodology of combining several techniques that i came up with.
Wow, that's interesting. What is the name of the software?
@mariovitali
Are you looking at just the abstracts ?
Also what is the result of this hypothesis? Are you finding correlation ? And if yes how does that prove causation ? I mean just because you dumped a large corpus of text into an NLP algorithm and found some co-occurence it doesnt mean you found anything of value .
I'm sure I will find a lot of co-occurence between the terms "Micheal Jackson" and "propofol", but that doesn't mean propofol causes Micheal Jackson*.
* He died as a result of a propofol overdose
H
Good question.
Your way of thinking makes sense but it’s a bit simplistic. There are already companies doing this and in a nutshell , we are finding both known and unknown relationships between Medical topics of interest.
Unfortunately I cannot go into the details but so far , this technology was able to identify key aspects of ME/CFS (Pyruvate Dehydrogenase, Bile Acid metabolism, Fatty Acid metabolism, possible Liver issues) before any other Researcher.
Given my complete lack of knowledge in Medical Science I would say that these are quite interesting events that deserve further evaluation.
The software looks at the abstracts only.
cc : @Janet Dafoe (Rose49)
I just completed another round of analysis using Machine Learning. Lactate was not part of the Medical topics being looked at and so i added it to the software to see its relevance to ME/CFS.
In previous runs, Liver Disease was the most relevant topic, followed by Sepsis and Norepinephrine. To my amazement, Lactate has risen to the top-5 positions. Here is a snapshot from the run :
View attachment 27588
Note that -by far-, the most relevant topic is Liver Disease.
A second type of analysis, tries to identify associations between Medical Topics. I therefore added Lactate to see what the software would come up with. In other words the question here is "which potentially relevant Medical Topics to ME/CFS are associated with Lactate ?" Here is the snapshot :
View attachment 27587
PDHC is Pyruvate Dehydrogenase Complex. NDUFS7 has been discussed in Phoenix Rising as well , where a user talks about elevated Lactate levels :
https://forums.phoenixrising.me/ind...utations-in-ndufs7-what-does-this-mean.30516/
Norepinephrine is a surprise!cc : @Janet Dafoe (Rose49)
I just completed another round of analysis using Machine Learning. Lactate was not part of the Medical topics being looked at and so i added it to the software to see its relevance to ME/CFS.
In previous runs, Liver Disease was the most relevant topic, followed by Sepsis and Norepinephrine. To my amazement, Lactate has risen to the top-5 positions. Here is a snapshot from the run :
View attachment 27588
Note that -by far-, the most relevant topic is Liver Disease.
A second type of analysis, tries to identify associations between Medical Topics. I therefore added Lactate to see what the software would come up with. In other words the question here is "which potentially relevant Medical Topics to ME/CFS are associated with Lactate ?" Here is the snapshot :
View attachment 27587
PDHC is Pyruvate Dehydrogenase Complex. NDUFS7 has been discussed in Phoenix Rising as well , where a user talks about elevated Lactate levels :
https://forums.phoenixrising.me/ind...utations-in-ndufs7-what-does-this-mean.30516/
Getting off topic since this is a five year old thread about the use of a patent applied oxalate mixture for ME/CFS treatment.Norepinephrine is a surprise!