Artificial intelligence based discovery of the association between depression and chronic fatigue syndrome, 2019, Chen et al

Andy

Andy

Retired committee member
Hmmm.
Abstract
BACKGROUND:
Both of the modern medicine and the traditional Chinese medicine classify depressive disorder (DD) and chronic fatigue syndrome (CFS) to one type of disease. Unveiling the association between depressive and the fatigue diseases provides a great opportunity to bridge the modern medicine with the traditional Chinese medicine.

METHODS:
In this work, 295 general participants were recruited to complete Zung Self-Rating Depression Scales and Chalder Fatigue Scales, and meanwhile, to donate plasma and urine samples for 1H NMR-metabolic profiling. Artificial intelligence methods was used to analysis the underlying association between DD and CFS. Principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to analyze the metabolic profiles with respect to gender and age. Variable importance in projection and t-test were employed in conjunction with the PLS-DA models to identify the metabolite biomarkers. Considering the asymmetry and complexity of the data, convolutional neural networks (CNN) model, an artificial intelligence method, was built to analyze the data characteristics between each groups.

RESULTS:
The results showed the gender- and age-related differences for the candidate biomarkers of the DD and the CFS diseases, and indicated the same and different biomarkers of the two diseases. PCA analysis for the data characteristics reflected that DD and CFS was separated completely in plasma metabolite. However, DD and CFS was merged into one group.

LIMITATION:
Lack of transcriptomic analysis limits the understanding of the association of the DD and the CFS diseases on gene level.

CONCLUSION:
The unmasked candidate biomarkers provide reliable evidence to explore the commonality and differences of the depressive and the fatigue diseases, and thereby, bridge over the traditional Chinese medicine with the modern medicine.
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Paywalled at https://www.sciencedirect.com/science/article/pii/S0165032718332300?via=ihub
 
The unmasked candidate biomarkers provide reliable evidence to explore the commonality and differences of the depressive and the fatigue diseases, and thereby, bridge over the traditional Chinese medicine with the modern medicine.
Click to expand...
'And with one bound.. he was free!'
If there's anything useful in this paper it won't be this sentence.
 
The Chalder fatigue scale has no relevance to CFS, never mind ME. It is impossible to use as it is so confusing; it is all about comparisons without being clear what they are comparing.

So any research done with it says nothing about us. Sick of the money wasted this way.
 
Nothing in this work uses artificial intelligence and it’s really sad that they try to incorporate buzzwords in their title and paper to attract attention.

CNNs are simply a type of deep learning method which by itself is not AI.
 
Mithriel said:
The Chalder fatigue scale has no relevance to CFS, never mind ME. It is impossible to use as it is so confusing; it is all about comparisons without being clear what they are comparing.

So any research done with it says nothing about us. Sick of the money wasted this way.
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Is there anything saying patients cannot refuse the Chalder questionnaire? There are plenty of other ones, e.g Lenny's. What would happen if patients refused? Better yet, researchers and doctors got informed and they refuse to administer it?
 
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It would be great if they did! I wasn't able to answer any of the questions because they were all about how you feel compared to last week or as usual, something like that. Not about how you feel compared to someone else your age.

I don't think it is used clinically very much only in "research" about chronic fatigue. It should not be used by any research being paid for by patients's or patient organisations. I think we should demand that and make sure the problems with it are widely known. I believe there are fatigue scales used by other illnesses which are much better so it looks like this scale was devised to make the bps research give the right answer.
 
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