Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …
Rodent models of attention-deficit hyperactivity disorder: An updated framework for model validation and therapeutic drug discovery
KM Kantak - Pharmacology Biochemistry and Behavior, 2022 - Elsevier
There are over twenty rodent models of Attention-Deficit Hyperactivity Disorder (ADHD), with
most reflecting a recognized ADHD subtype. Of these, only five rat models (Neonatal 6 …
most reflecting a recognized ADHD subtype. Of these, only five rat models (Neonatal 6 …
Deep learning prediction of mild cognitive impairment using electronic health records
S Fouladvand, MM Mielke, M Vassilaki… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
About 44.4 million people have been diagnosed with dementia worldwide, and it is
estimated that this number will be almost tripled by 2050. Predicting mild cognitive …
estimated that this number will be almost tripled by 2050. Predicting mild cognitive …
[HTML][HTML] A systematic literature review and analysis of deep learning algorithms in mental disorders
G Arji, L Erfannia, M Hemmat - Informatics in medicine unlocked, 2023 - Elsevier
Introduction Mental disorders are the main cause of mortality and morbidity worldwide. Deep
learning offers a considerable promise for mental health diagnosis and risk assessment. The …
learning offers a considerable promise for mental health diagnosis and risk assessment. The …
Identifying opioid use disorder from longitudinal healthcare data using a multi-stream transformer
Opioid Use Disorder (OUD) is a public health crisis costing the US billions of dollars
annually in healthcare, lost workplace productivity, and crime. Analyzing longitudinal …
annually in healthcare, lost workplace productivity, and crime. Analyzing longitudinal …
A comparative effectiveness study on opioid use disorder prediction using artificial intelligence and existing risk models
Opioid use disorder (OUD) is a leading cause of death in the United States placing a
tremendous burden on patients, their families, and health care systems. Artificial intelligence …
tremendous burden on patients, their families, and health care systems. Artificial intelligence …
Predicting opioid use disorder from longitudinal healthcare data using multi-stream transformer
Opioid Use Disorder (OUD) is a public health crisis costing the US billions of dollars
annually in healthcare, lost workplace productivity, and crime. Analyzing longitudinal …
annually in healthcare, lost workplace productivity, and crime. Analyzing longitudinal …
Integrating data science into the translational science research spectrum: a substance use disorder case study
The availability of large healthcare datasets offers the opportunity for researchers to
navigate the traditional clinical and translational science research stages in a nonlinear …
navigate the traditional clinical and translational science research stages in a nonlinear …
Multi-stream Longitudinal Data Analysis using Deep Learning
S Fouladvand - 2021 - uknowledge.uky.edu
Longitudinal healthcare data encompasses all tasks where patients information are
collected at multiple follow-up times. Analyzing this data is critical in addressing many real …
collected at multiple follow-up times. Analyzing this data is critical in addressing many real …
Application of big data technology and Virtual Reality Technology in the Treatment of Mental Diseases
Z Guo, J Li, F Li, K Zhu - … on Machine Learning, Big Data and …, 2021 - ieeexplore.ieee.org
This paper combs and studies the relevant literature on the application of big data
technology and virtual reality technology in the treatment of mental diseases from 1996 to …
technology and virtual reality technology in the treatment of mental diseases from 1996 to …