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Assessment of proteomic measures across serious psychiatric illness
S. Charles Schulz
, Shauna Overgaard
,
David J. Bond
, Rajesh Kaldate
Psychiatry & Behavioral Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
3
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Scopus citations
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Keyphrases
Proteomics
100%
Area under the Curve
100%
Psychiatric Illness
100%
Bipolar Disorder
75%
Schizophrenia
75%
Schizoaffective Disorder
75%
Illness
50%
Diagnosis-related Groups
50%
Training Areas
50%
Pathophysiology
25%
Effective Treatment
25%
Serum Proteins
25%
Psychiatry
25%
Healthy Controls
25%
Between-group
25%
Biological Approach
25%
Multivariate Modeling
25%
Order of Accuracy
25%
Small Sample Size
25%
Psychiatric Diagnosis
25%
Symptom Reporting
25%
Linear Discriminant Analysis
25%
Accurate Diagnosis
25%
Binary Classification
25%
Diagnostic Aid
25%
Overlapping Symptoms
25%
Symptom Interpretation
25%
Medication State
25%
Diagnostic Control
25%
Proteomic Markers
25%
Clinical Diagnosis
25%
Psychology
Bipolar Disorder
100%
Schizophrenia
100%
Schizoaffective Disorder
100%
Psychopathology
100%
Cross-Validation
33%
Subjectivity
33%
Neuroscience
Proteomics
100%
Psychopathology
100%
Bipolar Disorder
75%
Schizoaffective Disorder
75%
Psychiatry
25%
Biochemistry, Genetics and Molecular Biology
Proteomics
100%
Sample Size
25%
Serum Total Protein
25%