AIMC Topic: Schizophrenia

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Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN).

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Connectome is understanding the complex organization of the human brain's structural and functional connectivity is essential for gaining insights into cognitive processes and disorders.
Female Young Adult Adult Machine Learning Brain Schizophrenia Connectome Diffusion Magnetic Resonance Imaging Male Deep Learning Humans Neural Networks, Computer
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Real-Time Detection of Emotions Based on Facial Expression for Mental Health.

Studies in health technology and informatics Oct 20, 2023
When it comes to health, a very widespread problem nowadays is mental health, where almost 18% of the world's population suffers from certain mental illnesses. Artificial intelligence (AI) is a concept that evolves strongly and is expected in the nea...
Mental Health Emotions Schizophrenia Humans Artificial Intelligence Facial Expression
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Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Identifying subtypes of neuropsychiatric disorders based on characteristics of their brain activity has tremendous potential to contribute to a better understanding of those disorders and to the development of new diagnostic and personalized treatmen...
Magnetic Resonance Imaging Brain Mapping Schizophrenia Brain Deep Learning Humans
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A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Understanding the structural and functional mechanisms of the brain is challenging for mood and mental disorders. Many neuroimaging techniques are widely used to reveal hidden patterns from different brain imaging modalities. However, these findings ...
Psychotic Disorders Neuroimaging Deep Learning Schizophrenia Humans Brain
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Fingerprints as Predictors of Schizophrenia: A Deep Learning Study.

Schizophrenia bulletin May 3, 2023
BACKGROUND AND HYPOTHESIS: The existing developmental bond between fingerprint generation and growth of the central nervous system points to a potential use of fingerprints as risk markers in schizophrenia. However, the high complexity of fingerprint...
Psychotic Disorders Humans Neural Networks, Computer Deep Learning Algorithms Schizophrenia
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Qualitative and Artificial Intelligence-Based Sentiment Analysis of Turkish Tweets Related to Schizophrenia.

Turk psikiyatri dergisi = Turkish journal of psychiatry Jan 1, 2023
OBJECTIVE: The aim of this study was to qualitatively examine Turkish tweets about schizophrenia in respect of stigmatization and discrimination within a one-month period and to conduct emotional analysis using artificial intelligence applications.
Artificial Intelligence Schizophrenia Humans Turkey Sentiment Analysis Expressed Emotion
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Translating Natural Language Processing into Mainstream Schizophrenia Assessment.

Schizophrenia bulletin Sep 1, 2022
Natural Language Processing Schizophrenia Schizophrenic Psychology Translating Humans
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Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning.

Schizophrenia bulletin Jan 21, 2022
BACKGROUND: Validated clinical prediction models of short-term remission in psychosis are lacking. Our aim was to develop a clinical prediction model aimed at predicting 4-6-week remission following a first episode of psychosis.
Remission, Spontaneous Psychotic Disorders Outcome Assessment, Health Care Male Adolescent Cohort Studies Remission Induction Young Adult Models, Statistical Prognosis Support Vector Machine Adult Humans Schizophrenia Female
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Decision support system for the differentiation of schizophrenia and mood disorders using multiple deep learning models on wearable devices data.

Health informatics journal Jan 1, 2022
In the modern world, with so much inherent stress, mental health disorders (MHDs) are becoming more common in every country around the globe, causing a significant burden on society and patients' families. MHDs come in many forms with various severit...
Humans Wearable Electronic Devices Prospective Studies Schizophrenia Deep Learning Mood Disorders
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Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Neuropsychiatric disorders such as schizophrenia are very heterogeneous in nature and typically diagnosed using self-reported symptoms. This makes it difficult to pose a confident prediction on the cases and does not provide insight into the underlyi...
Schizophrenia Neuroimaging Humans Deep Learning Reproducibility of Results Genomics
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