Schizophrenia - AI Medical Affairs

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Psychiatry Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 484-504 of 2,681 articles

Low-rank network signatures in the triple network separate schizophrenia and major depressive disorder.

Brain imaging studies have revealed that functional and structural brain connectivity in the so-call...

Feb 2019 30798168

The Early Psychosis Screener for Internet (EPSI)-SR: Predicting 12 month psychotic conversion using machine learning.

INTRODUCTION: A faster and more accurate self-report screener for early psychosis is needed to promo...

Feb 2019 30777603

Resting-state anticorrelated networks in Schizophrenia.

Converging evidences from different lines of research suggest abnormalities in functional brain conn...

Dec 2018 30605823

Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort.

BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizop...

Dec 2018 30552914

From cognitive and clinical substrates to functional profiles: Disentangling heterogeneity in schizophrenia.

The relationship between neurocognition and functioning among patients with schizophrenia is well do...

Dec 2018 30537667

Disease comorbidity-guided drug repositioning: a case study in schizophrenia.

UNLABELLED: The key to any computational drug repositioning is the availability of relevant data in ...

Dec 2018 30815174

Machine learning studies on major brain diseases: 5-year trends of 2014-2018.

In the recent 5 years (2014-2018), there has been growing interest in the use of machine learning (M...

Nov 2018 30498877

Hyponatremia Presenting with Recurrent Mania.

Primary psychogenic polydipsia (PPD) is a chronic, relapsing condition in which there is a disturban...

Nov 2018 30723644

Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.

Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs...

Nov 2018 30467771

Comparative Evaluation of Machine Learning Strategies for Analyzing Big Data in Psychiatry.

The requirement of innovative big data analytics has become a critical success factor for research i...

Oct 2018 30380679

Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study.

Machine learning is becoming an increasingly popular approach for investigating spatially distribute...

Oct 2018 30311316

Using fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosis.

Cognitive behavioural therapy for psychosis (CBTp) involves helping patients to understand and refra...

Oct 2018 30343250

Identifying a neuroanatomical signature of schizophrenia, reproducible across sites and stages, using machine learning with structured sparsity.

OBJECTIVE: Structural MRI (sMRI) increasingly offers insight into abnormalities inherent to schizoph...

Sep 2018 30242828

Recognition of Schizophrenia with Regularized Support Vector Machine and Sequential Region of Interest Selection using Structural Magnetic Resonance Imaging.

Structural brain abnormalities in schizophrenia have been well characterized with the application of...

Sep 2018 30218016

A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia.

BACKGROUND: Technological advances are enabling us to collect multimodal datasets at an increasing d...

Sep 2018 30184473

Is It Ethical to Use Prognostic Estimates from Machine Learning to Treat Psychosis?

Machine learning is a method for predicting clinically relevant variables, such as opportunities for...

Sep 2018 30242810

A rapid LC-MS/MS method for simultaneous determination of quetiapine and duloxetine in rat plasma and its application to pharmacokinetic interaction study.

Combinations of new antidepressants like duloxetine and second-generation antipsychotics like quetia...

Aug 2018 30648587

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.

The human cerebellum plays an essential role in motor control, is involved in cognitive function (i....

Aug 2018 30099076

Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia.

This work presents a novel approach to finding linkage/association between multimodal brain imaging ...

Jul 2018 30055372

Is there a symptomatic distinction between the affective psychoses and schizophrenia? A machine learning approach.

Dubiety exists over whether clinical symptoms of schizophrenia can be distinguished from affective p...

Jul 2018 30054176

Drug Repositioning for Schizophrenia and Depression/Anxiety Disorders: A Machine Learning Approach Leveraging Expression Data.

Development of new medications is a lengthy and costly process, and drug repositioning might help to...

Jul 2018 30010603