Psychiatry

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

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A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data.

Normal life can be ensured for schizophrenic patients if diagnosed early. Electroencephalogram (EEG)...

Oct 2022 36306576
From promise to practice: towards the realisation of AI-informed mental health care.

In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-based p...

Oct 2022 36229346
Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks.

The mapping of the time-dependent evolution of the human brain connectivity using longitudinal and m...

Oct 2022 36257134
A Novel Affective Analysis System Modeling Method Integrating Affective Cognitive Model and Bi-LSTM Neural Network.

The severity of mental health issues among college students has increased over the past few years, h...

Oct 2022 36248942
Analysis of the Correlation between College Music Education and Public Mental Health Based on Deep Learning.

With the continuous changes of college music education and public mental health problems, convention...

Oct 2022 36246462
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model.

BACKGROUND: In recent years, more and more people suffer from depression and anxiety. These symptoms...

Oct 2022 36272311
Computer assisted identification of stress, anxiety, depression (SAD) in students: A state-of-the-art review.

Stress, depression, and anxiety are a person's physiological states that emerge from various body fe...

Oct 2022 36273998
Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models.

Individuals who suffer from suicidal ideation frequently express their views and ideas on social med...

Oct 2022 36231935
Logistic Regression With Machine Learning Sheds Light on the Problematic Sexual Behavior Phenotype.

OBJECTIVES: There has been a longstanding debate about whether the mechanisms involved in problemati...

Oct 2022 36193910
One Size Does Not Fit All: Methodological Considerations for Brain-Based Predictive Modeling in Psychiatry.

Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way across indiv...

Sep 2022 36577634
Data augmentation with Mixup: Enhancing performance of a functional neuroimaging-based prognostic deep learning classifier in recent onset psychosis.

Although deep learning holds great promise as a prognostic tool in psychiatry, a limitation of the m...

Sep 2022 36183611
A Deep Learning-Based TE Method for MSs' Mental Health Analysis.

Teaching evaluation (TE) is of great significance in education and can judge the value and appropria...

Sep 2022 36213035
Robotic radical distal gastrectomy for gastric cancer using the soft coagulation scissors technique.

We have developed a novel technique for safe and precise lymph-node dissection during robotic gastre...

Sep 2022 36169804
Toward Mental Effort Measurement Using Electrodermal Activity Features.

The ability to monitor mental effort during a task using a wearable sensor may improve productivity ...

Sep 2022 36236461
Algorithms and the future of work.

An algorithm refers to a series of stepwise instructions used by a machine to perform a mathematical...

Sep 2022 36128686
A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data.

BACKGROUND: Depression (Major Depressive Disorder) is one of the most common mental illnesses. Accor...

Sep 2022 36183638
Analysis of College Students' Psychological Education Management in Public Emergencies Based on Big Data.

In recent years, college students' psychological problems have occurred frequently, and the early wa...

Sep 2022 36193395
Construction and Analysis of Emotion Recognition and Psychotherapy System of College Students under Convolutional Neural Network and Interactive Technology.

This study's aim is to effectively establish a psychological intervention and treatment system for c...

Sep 2022 36164423
Comparison of three machine learning models to predict suicidal ideation and depression among Chinese adolescents: A cross-sectional study.

BACKGROUND: Machine learning (ML) algorithms based on various clinicodemographic, psychometric, and ...

Sep 2022 36122602
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