Autism

Deep Learning for Cross-Diagnostic Prediction of Mental Disorder Diagnosis and Prognosis Using Danish Nationwide Register and Genetic Data.

IMPORTANCE: Diagnoses and treatment of mental disorders are hampered by the current lack of objectiv...

A comprehensive investigation of statistical and machine learning approaches for predicting complex human diseases on genomic variants.

Quantifying an individual's risk for common diseases is an important goal of precision health. The p...

Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection.

In biomedical machine learning, data often appear in the form of graphs. Biological systems such as ...

Network Biology and Medicine to Rescue: Applications for Retinal Disease Mechanisms and Therapy.

Inherited retinal degenerations (IRDs) are clinically and genetically heterogenous blinding diseases...

Prescreening in oncology trials using medical records. Natural language processing applied on lung cancer multidisciplinary team meeting reports.

Defining profiles of patients that could benefit from relevant anti-cancer treatments is essential. ...

Use of the PARO robot as a social mediator in a sample of children with neurodevelopmental disorders and typical development.

BACKGROUND: Social robotics is a research field aimed at providing robots with skills related to soc...

Prediction of Cancer Treatment Using Advancements in Machine Learning.

Many cancer patients die due to their treatment failing because of their disease's resistance to che...

DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome.

MOTIVATION: Understanding the functional consequence of genetic variants, especially the non-coding ...

Optimization scheme of machine learning model for genetic division between northern Han, southern Han, Korean and Japanese.

Han Chinese, Korean and Japanese are the main populations of East Asia, and Han Chinese presents a g...

Distributed nonsynchronous event-triggered state estimation of genetic regulatory networks with hidden Markovian jumping parameters.

In this paper, the distributed state estimation problem of genetic regulatory networks (GRNs) with h...

The genetic algorithm-aided three-stage ensemble learning method identified a robust survival risk score in patients with glioma.

Ensemble learning is a kind of machine learning method which can integrate multiple basic learners t...

Climate and genetic data enhancement using deep learning analytics to improve maize yield predictability.

Despite efforts to collect genomics and phenomics ('omics') and environmental data, spatiotemporal a...

Predicting and explaining the impact of genetic disruptions and interactions on organismal viability.

MOTIVATION: Existing computational models can predict single- and double-mutant fitness but they do ...

Braitenberg Vehicles as Developmental Neurosimulation.

Connecting brain and behavior is a longstanding issue in the areas of behavioral science, artificial...

KLFDAPC: a supervised machine learning approach for spatial genetic structure analysis.

Geographic patterns of human genetic variation provide important insights into human evolution and d...

Sharing Worlds: Design of a Real-Time Attention Classifier for Robotic Therapy of ASD Children.

Joint attention is the capacity of sharing attention between two agents and an aspect of the environ...

Three Study Cases of Social Robotics in Autism Spectrum Disorder Treatment: Personalization and Usability of CASTOR Robot.

Social assistive robotics in autism has been implemented in studies and therapies to improve social ...

Development of an Interactive Total Body Robot Enhanced Imitation Therapy for ASD children.

Autism is a neurodevelopmental disorder in which the available therapies target the improvement of s...

Novel Insights Into Facial Emotion Encoding in Autism Spectrum Disorder Through Deep Learning.

Intelligent dynamic data perturbation OCDM encryption scheme based on cellular neural network and biological genetic encoding.

In this paper, an intelligent dynamic perturbation orthogonal chirp division multiplexing (OCDM) enc...

Genetic optimization of mid-infrared filters for a machine learning chemical classifier.

Miniaturized mid-infrared spectrometers present opportunities for applications that range from healt...