AIMC Topic: Schizophrenia

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Differentiating Between Sexual Offending and Violent Non-sexual Offending in Men With Schizophrenia Spectrum Disorders Using Machine Learning.

Sexual abuse : a journal of research and treatment Sep 11, 2023
Forensic psychiatric populations commonly contain a subset of persons with schizophrenia spectrum disorders (SSD) who have committed sex offenses. A comprehensive delineation of the features that distinguish persons with SSD who have committed sex of...
Sex Offenses Criminals Schizophrenic Psychology Retrospective Studies Humans Adult Machine Learning Male Middle Aged Schizophrenia Violence
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Automatic identification of schizophrenia employing EEG records analyzed with deep learning algorithms.

Schizophrenia research Sep 8, 2023
Electroencephalography is a method of detecting and analyzing electrical activity in the brain. This electrical activity can be recorded and processed to aid in the clinical diagnosis of mental disorders. In this study, a novel system for classifying...
Humans Algorithms Deep Learning Electroencephalography Support Vector Machine Signal Processing, Computer-Assisted Bayes Theorem Schizophrenia
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Detecting schizophrenia with 3D structural brain MRI using deep learning.

Scientific reports Sep 2, 2023
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning applied to a structural neuroimaging dataset could detect disease-related alteration and improve clas...
Aged Young Adult Adult Humans Female Deep Learning Adolescent Imaging, Three-Dimensional Male Middle Aged Case-Control Studies Neuroimaging Magnetic Resonance Imaging Schizophrenia
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MS-ACGAN: A modified auxiliary classifier generative adversarial network for schizophrenia's samples augmentation based on microarray gene expression data.

Computers in biology and medicine May 26, 2023
Artificial intelligence-based models and robust computational methods have expedited the data-to-knowledge trajectory in precision medicine. Although machine learning models have been widely applied in medical data analysis, some barriers are yet to ...
Humans Artificial Intelligence Reproducibility of Results Gene Expression Schizophrenia Microarray Analysis
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Automated detection of schizophrenia using deep learning: a review for the last decade.

Physiological measurement Mar 6, 2023
Schizophrenia (SZ) is a devastating mental disorder that disrupts higher brain functions like thought, perception, etc., with a profound impact on the individual's life. Deep learning (DL) can detect SZ automatically by learning signal data character...
Deep Learning Electroencephalography Schizophrenia Humans Neural Networks, Computer Machine Learning
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Android robot was beneficial for communication rehabilitation in a patient with schizophrenia comorbid with autism spectrum disorders.

Schizophrenia research Feb 24, 2023
Communication Facial Expression Humans Robotics Rehabilitation Autism Spectrum Disorder Schizophrenia
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A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data.

Computers in biology and medicine Oct 19, 2022
Normal life can be ensured for schizophrenic patients if diagnosed early. Electroencephalogram (EEG) carries information about the brain network connectivity which can be used to detect brain anomalies that are indicative of schizophrenia. Since deep...
Humans Machine Learning Algorithms Schizophrenia Deep Learning Electroencephalography
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Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders.

Proceedings of the National Academy of Sciences of the United States of America Aug 15, 2022
There is growing evidence for the role of DNA methylation (DNAm) quantitative trait loci (mQTLs) in the genetics of complex traits, including psychiatric disorders. However, due to extensive linkage disequilibrium (LD) of the genome, it is challengin...
CpG Islands Brain Chemistry Quantitative Trait Loci Humans Neural Networks, Computer Deep Learning Polymorphism, Single Nucleotide Brain Genome-Wide Association Study DNA Methylation Schizophrenia
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Deep learning-based integration of genetics with registry data for stratification of schizophrenia and depression.

Science advances Jun 29, 2022
Currently, psychiatric diagnoses are, in contrast to most other medical fields, based on subjective symptoms and observable signs and call for new and improved diagnostics to provide the most optimal care. On the basis of a deep learning approach, we...
Schizophrenia Deep Learning Humans Depression Depressive Disorder, Major Registries
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Exploring Characteristics of Homicide Offenders With Schizophrenia Spectrum Disorders Via Machine Learning.

International journal of offender therapy and comparative criminology Jun 22, 2022
The link between schizophrenia and homicide has long been the subject of research with significant impact on mental health policy, clinical practice, and public perception of people with psychiatric disorders. The present study investigates factors c...
Middle Aged Humans Switzerland Schizophrenia Machine Learning Adult Female Criminals Male Young Adult Schizophrenic Psychology Homicide
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