AIMC Topic: Psychiatric Status Rating Scales

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Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.

Journal of evaluation in clinical practice May 23, 2018
RATIONALE: Deficit schizophrenia, as defined by the Schedule for Deficit Syndrome, may represent a distinct diagnostic class defined by neurocognitive impairments coupled with changes in IgA/IgM responses to tryptophan catabolites (TRYCATs). Adequate...
Male Middle Aged Quality of Life Psychiatric Status Rating Scales Inflammation Humans Cytokines Female Adult Schizophrenic Psychology Behavioral Symptoms Cognitive Reserve Neurocognitive Disorders Neuroimmunomodulation Unsupervised Machine Learning Patient Acuity Schizophrenia Psychotic Disorders Tryptophan
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In Schizophrenia, Depression, Anxiety, and Physiosomatic Symptoms Are Strongly Related to Psychotic Symptoms and Excitation, Impairments in Episodic Memory, and Increased Production of Neurotoxic Tryptophan Catabolites: a Multivariate and Machine Learning Study.

Neurotoxicity research Jan 29, 2018
The depression, anxiety and physiosomatic symptoms (DAPS) of schizophrenia are associated with negative symptoms and changes in tryptophan catabolite (TRYCAT) patterning. The aim of this study is to delineate the associations between DAPS and psychos...
Humans Machine Learning Female Thailand Anxiety Psychiatric Status Rating Scales Depression Adolescent Aged Young Adult Adult Male Middle Aged Tryptophan Memory Disorders Multivariate Analysis Medically Unexplained Symptoms
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The Early Psychosis Screener (EPS): Quantitative validation against the SIPS using machine learning.

Schizophrenia research Jan 19, 2018
Machine learning techniques were used to identify highly informative early psychosis self-report items and to validate an early psychosis screener (EPS) against the Structured Interview for Psychosis-risk Syndromes (SIPS). The Prodromal Questionnaire...
Male Psychiatric Status Rating Scales Adolescent Longitudinal Studies Self Report Schizophrenia Psychotic Disorders Risk Prodromal Symptoms Interview, Psychological Humans Machine Learning Female Young Adult Adult
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The centrality of affective instability and identity in Borderline Personality Disorder: Evidence from network analysis.

PloS one Oct 17, 2017
We argue that the series of traits characterizing Borderline Personality Disorder samples do not weigh equally. In this regard, we believe that network approaches employed recently in Personality and Psychopathology research to provide information ab...
Passive-Aggressive Personality Disorder Adult Male Middle Aged Case-Control Studies Affective Symptoms Psychiatric Status Rating Scales Dependency, Psychological Depression Humans Identity Crisis Adolescent Neural Networks, Computer Narcissism Borderline Personality Disorder Female Obsessive Behavior Avoidance Learning Aged
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A state-independent network of depressive, negative and positive symptoms in male patients with schizophrenia spectrum disorders.

Schizophrenia research Aug 23, 2017
Depressive symptoms occur frequently in patients with schizophrenia. Several factor analytical studies investigated the associations between positive, negative and depressive symptoms and reported difficulties differentiating between these symptom do...
Psychotic Disorders Schizophrenic Psychology Male Psychiatric Status Rating Scales Depression Schizophrenia Humans Neural Networks, Computer Young Adult Adult
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Depressive Symptoms and Their Interactions With Emotions and Personality Traits Over Time: Interaction Networks in a Psychiatric Clinic.

The primary care companion for CNS disorders Apr 13, 2017
OBJECTIVE: Associations between depression, personality traits, and emotions are complex and reciprocal. The aim of this study is to explore these interactions in dynamical networks and in a linear way over time depending on the severity of depressio...
Depression Personality Adolescent Emotions Regression Analysis Personality Inventory Young Adult Adult Male Middle Aged Psychiatric Status Rating Scales Humans Neural Networks, Computer Female
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Robotic gait training in multiple sclerosis rehabilitation: Can virtual reality make the difference? Findings from a randomized controlled trial.

Journal of the neurological sciences Mar 29, 2017
Gait, coordination, and balance may be severely compromised in patients with multiple sclerosis (MS), with considerable consequences on the patient's daily living activities, psychological status and quality of life. For this reason, MS patients may ...
Multiple Sclerosis Depression Virtual Reality Robotics Female Postural Balance Single-Blind Method Humans Adult Disability Evaluation Gait Male Exercise Therapy Middle Aged Activities of Daily Living Psychiatric Status Rating Scales Outcome Assessment, Health Care
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A symptom network structure of the psychosis spectrum.

Schizophrenia research Feb 22, 2017
Current diagnostic systems mainly focus on symptoms needed to classify patients with a specific mental disorder and do not take into account the variation in co-occurring symptoms and the interaction between the symptoms themselves. The innovative ne...
Humans Neural Networks, Computer Young Adult Adult Male Middle Aged Psychiatric Status Rating Scales Adolescent Longitudinal Studies Psychotic Disorders Psychopathology Delusions
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Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer's Disease.

Computational intelligence and neuroscience Dec 18, 2016
The use of wearable devices to study gait and postural control is a growing field on neurodegenerative disorders such as Alzheimer's disease (AD). In this paper, we investigate if machine-learning classifiers offer the discriminative power for the di...
Diagnosis, Computer-Assisted Alzheimer Disease Humans Aged Psychiatric Status Rating Scales Neural Networks, Computer Aged, 80 and over Posture Machine Learning Sensitivity and Specificity Female Postural Balance Biomechanical Phenomena Male
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Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.

Human brain mapping Oct 4, 2016
An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to identify biomarkers to predict which individuals will transition to psychosis. However, the majority of individuals will prove to be resilient and go on t...
ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Predictive Value of Tests Humans Psychotic Disorders Male Machine Learning Neuropsychological Tests Psychiatric Status Rating Scales Brain Adolescent Risk Factors Child
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