AIMC Topic: Psychiatric Status Rating Scales
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Predicting one-year outcome in first episode psychosis using machine learning.
PloS one
Mar 7, 2019
BACKGROUND: Early illness course correlates with long-term outcome in psychosis. Accurate prediction could allow more focused intervention. Earlier intervention corresponds to significantly better symptomatic and functional outcomes. Our study object...
Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.
eNeuro
Jan 3, 2019
Fear of pain demonstrates significant prognostic value regarding the development of persistent musculoskeletal pain and disability. Its assessment often relies on self-report measures of pain-related fear by a variety of questionnaires. However, base...
Predicting persistent depressive symptoms in older adults: A machine learning approach to personalised mental healthcare.
Journal of affective disorders
Dec 25, 2018
BACKGROUND: Depression causes significant physical and psychosocial morbidity. Predicting persistence of depressive symptoms could permit targeted prevention, and lessen the burden of depression. Machine learning is a rapidly expanding field, and suc...
Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort.
Progress in neuro-psychopharmacology & biological psychiatry
Dec 12, 2018
BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizophrenia.
Machine learning in major depression: From classification to treatment outcome prediction.
CNS neuroscience & therapeutics
Aug 23, 2018
AIMS: Major depression disorder (MDD) is the single greatest cause of disability and morbidity, and affects about 10% of the population worldwide. Currently, there are no clinically useful diagnostic biomarkers that are able to confirm a diagnosis of...
Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery.
British journal of anaesthesia
Jul 31, 2018
BACKGROUND: Prevention of persistent pain after breast cancer surgery, via early identification of patients at high risk, is a clinical need. Psychological factors are among the most consistently proposed predictive parameters for the development of ...
Semantic measures: Using natural language processing to measure, differentiate, and describe psychological constructs.
Psychological methods
Jul 2, 2018
Psychological constructs, such as emotions, thoughts, and attitudes are often measured by asking individuals to reply to questions using closed-ended numerical rating scales. However, when asking people about their state of mind in a natural context ...
Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder.
Progress in neuro-psychopharmacology & biological psychiatry
Jun 26, 2018
BACKGROUND: Recent studies demonstrate that functional disruption in resting-state networks contributes to cognitive and affective symptoms of bipolar disorder (BD), however, the functional connectivity (FC) pattern underlying BD II depression within...
Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP).
Schizophrenia research
May 26, 2018
Volumetric brain magnetic resonance imaging predicts functioning in bipolar disorder: A machine learning approach.
Journal of psychiatric research
May 26, 2018
Neuroimaging studies have been steadily explored in Bipolar Disorder (BD) in the last decades. Neuroanatomical changes tend to be more pronounced in patients with repeated episodes. Although the role of such changes in cognition and memory is well es...
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