Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and...
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Contents
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs) and memory impairments, which are associated with PHEMN (psychosis, hostility, excitation, mannerism and negative) and DAPS (depression, anxiety and physio-somatic) symptoms. This study was carried out to examine the association between TRYCAT patt...
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Full title
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia
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TN_cdi_proquest_miscellaneous_2137461712
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2137461712
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ISSN
0885-7490
E-ISSN
1573-7365
DOI
10.1007/s11011-018-0339-7
