Psychiatry

Addictions

Latest AI and machine learning research in addictions for healthcare professionals.

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Showing 526-546 of 1,263 articles
Blood metabolic signatures of hikikomori, pathological social withdrawal.

BACKGROUND: A severe form of pathological social withdrawal, 'hikikomori,' has been acknowledged in ...

Jun 2022 35860171
Identification and epidemiological characterization of Type-2 diabetes sub-population using an unsupervised machine learning approach.

BACKGROUND: Studies on Type-2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations i...

May 2022 35624098
Deep learning supports the differentiation of alcoholic and other-than-alcoholic cirrhosis based on MRI.

Although CT and MRI are standard procedures in cirrhosis diagnosis, differentiation of etiology base...

May 2022 35585118
Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing.

BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research...

May 2022 35615042
Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform.

Multivariate time series forecasting remains a challenging task because of its nonlinear, non-statio...

May 2022 35594758
RETRACTED: Chemistry-Informed Neural Networks modelling of lignocellulosic biomass pyrolysis.

This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevi...

May 2022 35537646
Deep neural networks learn general and clinically relevant representations of the ageing brain.

The discrepancy between chronological age and the apparent age of the brain based on neuroimaging da...

Apr 2022 35462035
When Bubbles Are Not Spherical: Artificial Intelligence Analysis of Ultrasonic Cavitation Bubbles in Solutions of Varying Concentrations.

Ultrasonic irradiation of liquids, such as water-alcohol solutions, results in cavitation or the for...

Apr 2022 35435685
Using Big Data Analytics to "Back Engineer" Protein Conformational Selection Mechanisms.

In the living cells, proteins bind small molecules (or "ligands") through a "conformational selectio...

Apr 2022 35458706
Medical image segmentation model based on triple gate MultiLayer perceptron.

To alleviate the social contradiction between limited medical resources and increasing medical needs...

Apr 2022 35413958
Practical foundations of machine learning for addiction research. Part II. Workflow and use cases.

In a continuum with applied statistics, machine learning offers a wide variety of tools to explore, ...

Apr 2022 35390266
Reducing prediction volatility in the surgical workflow recognition of endoscopic pituitary surgery.

PURPOSE: Workflow recognition can aid surgeons before an operation when used as a training tool, dur...

Apr 2022 35362848
The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.

To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we...

Mar 2022 35290159
Collection of 2429 constrained headshots of 277 volunteers for deep learning.

Deep learning has rapidly been filtrating many aspects of human lives. In particular, image recognit...

Mar 2022 35260616
A Bayesian mixed effects support vector machine for learning and predicting daily substance use disorder patterns.

Substance use disorder (SUD) is a heterogeneous disorder. Adapting machine learning algorithms to a...

Feb 2022 35196194
Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES.

The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is the lead...

Feb 2022 35145205
Predictive Factors of Early Postoperative Complications After Robot-Assisted Radical Cystectomy for Urothelial Bladder Carcinoma.

To identify protective and risk factors of early postoperative complications after robot-assisted r...

Feb 2022 34931545
Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning.

A drug-drug interaction (DDI) is defined as an association between two drugs where the pharmacologic...

Feb 2022 32310779
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