Pay close attention to this one. It’s the future coming at you like a strong wind.
First, a bit of background. As my readers know, I’ve assembled conclusive proof that psychiatric diagnosis of mental disorders is a fraud. It’s pseudoscience. There are no defining lab tests. No definitive blood, saliva, hair, brain, genetic tests.
Instead, committees of psychiatrists meet and discuss arbitrary clusters of behaviors, group them and label them with “mental-disorder” names.
But diehards insist that one of the earliest and oldest disorders, schizophrenia, is the exception. That one is solid. That one isn’t pseudoscience. That one is the “gold standard.”
Wrong.
As fiercebiotech.com reports, “…Diagnosing schizophrenia relies on subjective methods…There is no single test for schizophrenia, so diagnosis typically involves observing symptoms and ruling out other potential causes for them…”
Want more? Fiercebiotch: “And while scientists have observed differences in brain scans of healthy people and those with schizophrenia…these are not currently used to diagnose the neurological disorder, according to the National Institute of Mental Health (NIMH).” Not used because the brain scans aren’t precise or definitive.
Same old, same old. Committees of psychiatrists “observe symptoms” (behaviors) and invent rules for diagnosis of schizophrenia.
As usual, the public is the last to know.
Now, there is a new project afoot that aims to change the non-objective diagnosis, using MRI images of the brain. IBM and the University of Alberta are working on it:
Fiercebiotech: “The team used machine learning to create a model that identifies schizophrenia based on connections in the brain, IBM said. The fMRI data was taken from different sites, using different machines, but the algorithm could differentiate between the patients with schizophrenia and without 74% of the time.”
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