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Showing 568-588 of 1,360 articles

Formulation and physicochemical stability of oil-in-water nanoemulsion loaded with α-terpineol as flavor oil using Quillaja saponins as natural emulsifier.

Alpha-terpineol (α-TOH) is a promising monoterpenoid detaining several biological activities. Howeve...

Dec 2021 PMID: 35227489

Understanding Medical Distrust Among African American/Black and Latino Persons Living With HIV With Sub-Optimal Engagement Along the HIV Care Continuum: A Machine Learning Approach.

Medical distrust is a potent barrier to participation in HIV care and medication use among African A...

Dec 2021 PMID: 35813871

Treatment selection using prototyping in latent-space with application to depression treatment.

Machine-assisted treatment selection commonly follows one of two paradigms: a fully personalized par...

Nov 2021 PMID: 34767577

Mechanisms and Methods to Understand Depressive Symptoms.

Depressive symptoms, feelings of sadness, anger, and loss that interfere with a person's daily life,...

Nov 2021 PMID: 34752200

Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach.

INTRODUCTION: Addressing the problem of suicidal thoughts and behavior (STB) in adolescents requires...

Nov 2021 PMID: 34731169

Using CatBoost algorithm to identify middle-aged and elderly depression, national health and nutrition examination survey 2011-2018.

Depression is one of the most common mental health problems in middle-aged and elderly people. The e...

Nov 2021 PMID: 34781111

Differential power of placebo across major psychiatric disorders: a preliminary meta-analysis and machine learning study.

The placebo effect across psychiatric disorders is still not well understood. In the present study, ...

Oct 2021 PMID: 34716400

Chatbot-Delivered Psychotherapy for Adults With Depressive and Anxiety Symptoms: A Systematic Review and Meta-Regression.

Although psychotherapy is a well-established treatment for depression and anxiety, chatbot-delivered...

Oct 2021 PMID: 35227408

Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis.

BACKGROUND: Multiple treatments are effective for major depressive disorder (MDD), but the outcomes ...

Oct 2021 PMID: 35575607

Artificial neural network and decision tree models of post-stroke depression at 3 months after stroke in patients with BMI ≥ 24.

OBJECTIVE: Previous studies have shown that excess weight (including obesity and overweight) can inc...

Oct 2021 PMID: 34624525

The effects of a sleep robot intervention on sleep, depression and anxiety in adults with insomnia - Study protocol of a randomized waitlist-controlled trial.

Insomnia is a common sleep disorder characterized by difficulties initiating sleep, maintaining slee...

Oct 2021 PMID: 34610481

Machine Learning: An Overview and Applications in Pharmacogenetics.

This narrative review aims to provide an overview of the main Machine Learning (ML) techniques and t...

Sep 2021 PMID: 34680905

Machine learning model for predicting Major Depressive Disorder using RNA-Seq data: optimization of classification approach.

Considering human brain disorders, Major Depressive Disorder (MDD) is seen as a lethal disease in wh...

Sep 2021 PMID: 35401859

Repurposing non-oncology small-molecule drugs to improve cancer therapy: Current situation and future directions.

Drug repurposing or repositioning has been well-known to refer to the therapeutic applications of a ...

Sep 2021 PMID: 35256933

Antidepressant-like effect of a seeds in mice: Involvement of the monoaminergic system.

BACKGROUND AND AIM: Berg. (Myrtaceae) present several pharmacological actions, but there are no rep...

Aug 2021 PMID: 35747347

I, robot: depression plays different roles in human-human and human-robot interactions.

Socially engaging robots have been increasingly applied to alleviate depressive symptoms and to impr...

Aug 2021 PMID: 34420040

COVID-19 sentiment analysis via deep learning during the rise of novel cases.

Social scientists and psychologists take interest in understanding how people express emotions and s...

Aug 2021 PMID: 34411112

Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.

Depression symptom heterogeneity limits the identifiability of treatment-response biomarkers. Whethe...

Aug 2021 PMID: 34390089

Psychiatry

Browse Specialties

Formulation and physicochemical stability of oil-in-water nanoemulsion loaded with α-terpineol as flavor oil using Quillaja saponins as natural emulsifier.

Understanding Medical Distrust Among African American/Black and Latino Persons Living With HIV With Sub-Optimal Engagement Along the HIV Care Continuum: A Machine Learning Approach.

Treatment selection using prototyping in latent-space with application to depression treatment.

Mechanisms and Methods to Understand Depressive Symptoms.

Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach.

Using CatBoost algorithm to identify middle-aged and elderly depression, national health and nutrition examination survey 2011-2018.

Differential power of placebo across major psychiatric disorders: a preliminary meta-analysis and machine learning study.

Chatbot-Delivered Psychotherapy for Adults With Depressive and Anxiety Symptoms: A Systematic Review and Meta-Regression.

Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis.

Artificial neural network and decision tree models of post-stroke depression at 3 months after stroke in patients with BMI ≥ 24.

The effects of a sleep robot intervention on sleep, depression and anxiety in adults with insomnia - Study protocol of a randomized waitlist-controlled trial.

Machine Learning: An Overview and Applications in Pharmacogenetics.

Machine learning model for predicting Major Depressive Disorder using RNA-Seq data: optimization of classification approach.

Repurposing non-oncology small-molecule drugs to improve cancer therapy: Current situation and future directions.

Antidepressant-like effect of a seeds in mice: Involvement of the monoaminergic system.

I, robot: depression plays different roles in human-human and human-robot interactions.

COVID-19 sentiment analysis via deep learning during the rise of novel cases.

Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.

Deep graph neural network-based prediction of acute suicidal ideation in young adults.

Machine learning as the new approach in understanding biomarkers of suicidal behavior.

Detecting suicidal risk using MMPI-2 based on machine learning algorithm.

Browse Specialties