AIMC Topic: Neurocognitive Disorders

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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...
Humans Cytokines Female Adult Male Middle Aged Quality of Life Psychiatric Status Rating Scales Inflammation Unsupervised Machine Learning Patient Acuity Schizophrenia Psychotic Disorders Tryptophan Schizophrenic Psychology Behavioral Symptoms Cognitive Reserve Neurocognitive Disorders Neuroimmunomodulation
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Analysis of Risk Factors in Dementia Through Machine Learning.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Sociodemographic data indicate the progressive increase in life expectancy and the prevalence of Alzheimer's disease (AD). AD is raised as one of the greatest public health problems. Its etiology is twofold: on the one hand, non-modifiabl...
Humans Machine Learning Algorithms Female Risk Factors Aged Aged, 80 and over Sensitivity and Specificity Male Exercise Case-Control Studies Depression Diabetes Mellitus, Type 2 Socioeconomic Factors Hypertension Alzheimer Disease Tobacco Use Cognitive Reserve Neurocognitive Disorders
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