Does the large number of comorbidities in current mental illness suggest that the current classification of illness is problematic? What diagnostic classification criteria do psychiatrists need to identify and treat disorders?
RDOC is an attempt to place classification on neurocognitive basis.
Classification systems for mental disorders have been plagued with the question of what is a disorder. That said, at least current systems like DSM and ICD are evidence based, and they change as the evidence base changes.
So I would answer that the best way to build a better system is evidence and social consensus, the way in which current systems have been developed. Sure, they have their critics, and those critics gather data and open social debate about the nature of mental disorders. And this informs development.
For example, is "mental disorder" the right construct? Neurodevelopmental and neurodegenerative processes are not included, even though they take place in the same brain as "mental disorders". And is "disorder" the right model? Should we be talking about "brain health"?
Our project: Quantifying Mental Health/// is based on mood science and the pathological chronification of moods as, for example, represented in the Plutchik’s Wheel of Emotions, dear Cai Jinping This approach works by ontological engineering, forensic simulation and key AI technologies.
https://www.amazon.com/QMH-QUANTIFYING-Ontological-Engineering-Closed-Loop/dp/1636483976
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Al Fermelia
Hi, please check this recent paper applying PCA as an unsupervised machine learning tool for early plant disease detection. You could check the method part to see the classification approach!
Article Abaxial leaf surface-mounted multimodal wearable sensor for ...
Hi. The classification of mental disorders is based on the sum of statistical and research findings, and the DSM continuum approach is a major solution to the comorbidity of mental disorders.
Hi. I guess that building a better classification system for mental disorders is an ongoing process that requires ongoing research, dialogue, and collaboration among experts and stakeholders. It's essential to strike a balance between precision and clinical utility while being sensitive to the evolving and understanding of mental health.
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