Roland Linder

TL;DR: The objectives of the present study were to examine urine samples from Type 2 diabetic patients and healthy volunteers using the electronic nose technology and to evaluate possible application of data classification methods such as self-learning artificial neural networks (ANN) and logistic regression (LR) in comparison with principal components analysis (PCA).

TL;DR: The behavioural pattern of mothers 4-5 months after delivery is investigated, finding that if only factors known prior to birth are applied, the decision to breastfeed can be correctly forecast as being 81%.

TL;DR: A new approach particularly suited for multiclass classification problems is introduced ('Subsequent ANN', SANN); evaluating a simulated data base comprising 3 classes, classification results of SANN were obviously superior to those achieved by ANN.

TL;DR: The results confirm the clinical experience that groups of pain descriptors rather than single items differentiate between patients with neuropathic and non‐neuropathic pain.

TL;DR: The adaptation of the ANN-voice analysis system for mobile use may facilitate its use and acceptance by non-voice specialists for the discovery and documentation of preexisting voice disorders, and may thereby lead to a timely initiation of further diagnosis and therapy by voice specialists.