Publications associées à Terminologies et classifications en médecine

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

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

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

Efficient management of nanomaterial hazards in a large number of research laboratories in an academic environment

Thierry Meyer, Amela Groso, Anna Maria Novello, Elina Buitrago

As the number of engineered nanomaterials (ENM) used in research increases with an incredible speed, health and safety specialists are continuously faced with the challenge of evaluating the risks involved with these materials. Nowadays there is not enough ...

2020

Evidence-based management of ambulatory electronic health record system implementation: An assessment of conceptual support and qualitative evidence

Objectives: While electronic health record (EHR) systems have potential to drive improvements in healthcare, a majority of EHR implementations fall short of expectations. Shortcomings in implementations are often due to organizational issues around the imp ...

Elsevier Ireland Ltd2014

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

Andrea Pfeifer, Andreas Muhs

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

Bénédicte Marie Maréchal, Ahmed Abdulkadir, Gunnar Krüger

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

Haleh Yasrebi

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