Jan Warchol

Recurrent neural networks in computer-based clinical decision support for laryngopathies: an experimental study

The main goal of this paper is to give the basis for creating a computer-based clinical decision support (CDS) system for laryngopathies. One of approaches which can be used in the proposed CDS is based on the speech signal analysis using recurrent neural networks (RNNs). RNNs can be used for pattern recognition in time series data due to their ability of memorizing some information from the past. The Elman networks (ENs) are a classical representative of RNNs. To improve learning ability of ENs, we may modify and combine them with another kind of RNNs, namely, with the Jordan networks. The modified Elman-Jordan networks (EJNs) manifest a faster and more exact achievement of the target pattern. Validation experiments were carried out on speech signals of patients from the control group and with two kinds of laryngopathies.

Computer-based clinical decision support for laryngopathies using recurrent neural networks

The research concerns computer-based clinical decision support for laryngopathies. The proposed computer tool is based on a speech signal analysis in the time domain using recurrent neural networks. Such networks have the ability of time series prediction because of their memory nodes as well as local recurrent connections. In our experiments we use the modified Elman-Jordan neural network. For this kind of the net, we can observe acceleration of a learning process and that is important in real-time decision making.

Ant-Based Clustering in Delta Episode Information Systems Based on Temporal Rough Set Flow Graphs

In the paper, we focus on ant-based clustering time series data represented by means of the so-called delta episode information systems. A clustering process is made on the basis of delta representation of time series, i.e., we are interested in characters of changes between two consecutive data points in time series instead of original data points. Most algorithms use similarity measures to compare time series. In the paper, we propose to use a measure based on temporal rough set flow graphs. This measure has a probabilistic character and it is considered in terms of the Decision Theoretic Rough Set DTRS model. To perform ant-based clustering, the algorithm based on the versions proposed by J. Deneubourg, E. Lumer and B. Faieta as well as J. Handl et al. is used.

Computer-Aided Diagnosis of Laryngopathies in the LabVIEW Environment: Exemplary Implementation

In the paper, we present a computer tool supporting a non-invasive diagnosis of selected larynx diseases. The tool is created on the basis of the LabVIEW environment. LabVIEW enables us to create, in an easy way, a user-friendly graphical interface facilitating both entering input data and visualizing results in order to make the platform ready to use directly in the medical community. Computer-aided diagnosis of laryngopathies, in the presented tool, is based on a family of coefficients reflecting spectrum disturbances around basic tones and their multiples for patients’ voice signals.