Psychiatry

DSM-5

Latest AI and machine learning research in dsm-5 for healthcare professionals.

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Modeling Soil pH at regional scale using environmental covariates and machine learning algorithm.

Soil pH serves as a critical indicator of soil chemistry and fertility, and mapping its spatial dist...

Investigation of cold formed steel angle compression through high throughput design FEA and machine learning.

This research investigates the finite element analysis (FEA) of cold-formed steel (CFS) L-columns wi...

Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic.

Suicide causes over 700,000 deaths annually worldwide. Mental disorders are closely linked to suicid...

Validation of Machine Learning-Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care.

New developments in machine learning-based analysis of speech can be hypothesized to facilitate the ...

DSM: Deep sequential model for complete neuronal morphology representation and feature extraction.

The full morphology of single neurons is indispensable for understanding cell types, the basic build...

Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data.

Depression in adolescence is recognized as an important social and public health issue that interfer...

Sensor-Driven Human-Robot Synergy: A Systems Engineering Approach.

Knowledge-based synergistic automation is a potential intermediate option between the opposite extre...

Survival analysis of localized prostate cancer with deep learning.

In recent years, data-driven, deep-learning-based models have shown great promise in medical risk pr...

A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm.

A high-resolution soil moisture prediction method has recently gained its importance in various fiel...

Accurate Wheat Lodging Extraction from Multi-Channel UAV Images Using a Lightweight Network Model.

The extraction of wheat lodging is of great significance to post-disaster agricultural production ma...

Neural Encoding and Decoding With Distributed Sentence Representations.

Building computational models to account for the cortical representation of language plays an import...

Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach.

A growing literature is utilizing machine learning methods to develop psychopathology risk algorithm...

Vehicular traffic noise prediction and propagation modelling using neural networks and geospatial information system.

This study proposes a neural network (NN) model to predict and simulate the propagation of vehicular...

Resting-state anticorrelated networks in Schizophrenia.

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

Volumetric brain magnetic resonance imaging predicts functioning in bipolar disorder: A machine learning approach.

Neuroimaging studies have been steadily explored in Bipolar Disorder (BD) in the last decades. Neuro...

The centrality of affective instability and identity in Borderline Personality Disorder: Evidence from network analysis.

We argue that the series of traits characterizing Borderline Personality Disorder samples do not wei...

Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data.

Technology driven interventions provide us with an increasing amount of fine-grained data about the ...

Exopolysaccharides of Lactobacillus reuteri: Their influence on adherence of E. coli to epithelial cells and inflammatory response.

The aim of the study was to characterize exopolysaccharides (EPS) originated from Lactobacillus reut...

Prior knowledge facilitates low homologous protein secondary structure prediction with DSM distillation.

MOTIVATION: Protein secondary structure prediction (PSSP) is one of the fundamental and challenging ...

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