AIMC Topic: Medically Unexplained Symptoms

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Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity.

Journal of neural engineering Dec 16, 2019
OBJECTIVE: Somatic symptom disorder (SSD) is a reflection of medically unexplained physical symptoms that lead to distress and impairment in social and occupational functioning. SSD is phenomenologically diagnosed and its neurobiology remains unsolve...
Humans Machine Learning Brain Female Adult Male Middle Aged Spectroscopy, Near-Infrared Functional Neuroimaging Brain Mapping Predictive Value of Tests Pain Measurement Electroencephalography Nerve Net Pain Threshold Medically Unexplained Symptoms
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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 Aged Young Adult Adult Male Middle Aged Thailand Anxiety Psychiatric Status Rating Scales Depression Adolescent Tryptophan Memory Disorders Multivariate Analysis Medically Unexplained Symptoms
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Machine-learning approaches in psychotherapy: a promising tool for advancing the understanding of the psychotherapeutic process.

Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) Jan 1, 2019
Humans Machine Learning Female Reproducibility of Results Aged Treatment Outcome Psychotherapy Medically Unexplained Symptoms Videotape Recording Psychotherapeutic Processes Personality Disorders
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