Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

International Classification of Diseases

Related publications (12)

Machine learning and its impact on psychiatric nosology: Findings from a qualitative study among German and Swiss experts

Georg Michael Joachim Starke

The increasing integration of Machine Learning (ML) techniques into clinical care, driven in particular by Deep Learning (DL) using Artificial Neural Nets (ANNs), promises to reshape medical practice on various levels and across multiple medical fields. Mu ...

2023

Antibody-Coated Wearable Organic Electrochemical Transistors for Cortisol Detection in Human Sweat

Danick Briand, Silvia Demuru, Jaemin Kim

The dysregulation of the hormone cortisol is related to several pathological states, and its monitoring could help prevent severe stress, fatigue, and mental diseases. While wearable antibody-based biosensors could allow real-time and simple monitoring of ...

AMER CHEMICAL SOC2022

Late Fusion of the Available Lexicon and Raw Waveform-based Acoustic Modeling for Depression and Dementia Recognition

Petr Motlicek, Mathew Magimai Doss, Subrahmanya Pavankumar Dubagunta, Julian David Fritsch

Mental disorders, e.g. depression and dementia, are categorized as priority conditions according to the World Health Organization (WHO). When diagnosing, psychologists employ structured questionnaires/interviews, and different cognitive tests. Although acc ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

Study of brain metabolic dysfunctions in animal models of mood disorder using magnetic resonance spectroscopy

Antoine Timothée Cherix

Mood disorders, in particular depression, are a major burden of our society. Due to the poor knowledge of the biological basis of these diseases, classification remains based on arbitrary symptomatic parameters. As a result, the existing pharmacological tr ...

EPFL2020

A Brain-Controlled Exoskeleton with Cascaded Event-Related Desynchronization Classifiers

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Dong Liu, Kyuhwa Lee, Dong Liu

This paper describes a brain-machine interface for the online control of a powered lower-limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user’s sensorimotor cortical areas. We train a binary decoder that can distinguish two d ...

Elsevier2017

Brain metabolic alterations in mice subjected to postnatal traumatic stress and in their offspring

João Miguel das Neves Duarte, Alberto Corcoba

Adverse environmental and social conditions early in life have a strong impact on health. They are major risk factors for mental diseases in adulthood and, in some cases, their effects can be transmitted across generations. The consequences of detrimental ...

Sage Publications Inc2017

A New Outlook on Mental Illnesses: Glial Involvement Beyond the Glue

Pierre Magistretti

Mental illnesses have long been perceived as the exclusive consequence of abnormalities in neuronal functioning. Until recently, the role of glial cells in the pathophysiology of mental diseases has largely been overlooked. However recently, multiple lines ...

Frontiers Media Sa2015

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

Meritxell Bach Cuadra, Alessandro Daducci, Reto Meuli, Gunnar Krüger, Bénédicte Marie Maréchal, Cristina Granziera, Alexis Roche, Delphine Ribes Lemay, Daniel Andreas Schmitter

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable accurate automated classification of AD patients, mild cognitive impaired (MCI) patients and elderly ...

Proceedings of 23rd International Society for Magnetic Resonance in Medicine (ISMRM) Conference2014

Development of a Small D-Enantiomeric Alzheimer's Amyloid-beta Binding Peptide Ligand for Future In Vivo Imaging Applications

Andrea Pfeifer

Alzheimer's disease (AD) is a devastating disease affecting predominantly the aging population. One of the characteristic pathological hallmarks of AD are neuritic plaques, consisting of amyloid-beta peptide (A beta). While there has been some advancement ...

Public Library Science2012

Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier

Gunnar Krüger, Bénédicte Marie Maréchal

Fully automated machine learning methods based on structural magnetic resonance imaging data can assist radiologists in the diagnosis of Alzheimer's disease (AD). These algorithms require large data sets to learn the separation of subjects with and without ...

Elsevier2011

Prediction of Survival and Risk Assessment Using Joint Analysis of Microarray Gene Expression Data

Gene expression profiles have been widely used in molecular classification, diagnosis and prediction, particularly in the area of oncology where accurate and early diagnosis is needed for appropriate treatment. Avoiding under-/over-treatment when it is not ...

EPFL2010

Performance criteria for healthy and energy efficient buildings: definition, assessment and building classification

Claude-Alain Roulet, Carlo Peruzzo

One of the aims of the HOPE project is to develop a method to assess healthiness and energy efficiency of buildings and strategies to optimise their performance towards health and energy efficiency. In this project, a building is defined "Healthy and Energ ...

2005