Wszystkie pola: neural, S. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Modelling of hemodialysis: regression versus neural model
Autorzy:: Szmajda, R.
Szczepaniak, P. S.
Powiązania:: https://bibliotekanauki.pl/articles/333709.pdf
Data publikacji:: 2004
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: hemodializy
sieci nuronowe
haemodialysis
neural network
Opis:: In the paper, evaluation of two approaches to modelling of hemodialysis is performed. Results obtained by regression are compared to those generated by neural models. Differences in the modelling quality are small. Both models shown the same qualitative dependencies between analyzed parameters.
Źródło:: Journal of Medical Informatics & Technologies; 2004, 7; KB41-46
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Self optimizing neural network - as expert system in medical heart attack.
Autorzy:: Popa, A.
Wojczyk, S.
Lizis, M.
Powiązania:: https://bibliotekanauki.pl/articles/333471.pdf
Data publikacji:: 2008
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: sieci neuronowe
systemy eksperckie
choroby serca
neural network
expert systems
heart diseases
Opis:: The main aim of Self Optimizing Neural Network (SONN), which are presented in this paper, is construction of expert system on the basis of analysis of medical information about group of patients. The expert system is built on the basis of neural network, and the main task of this system is to expect future patient health, based on information about the patient. Such a system can give the doctors a hint about that what can be happen with patient. And what is more important - the SONN construction process is very flexibly and adapts topology and all weights to training data. This is undoubtedly a great advantage of this type of neural network. Moreover the construction process is quite simple. The network topology and all connections between neurons can be easy implemented and kept in such a way, which allows to create very efficient expert system. In this paper we describe the process of construction of neural network which is based on one-shot analysis of learning patterns. On the basis of appropriate computation the SONN topology is built. The construction process can be repeated on the learning group of patients. In this way the expert system (based on SONN) will be better and better.
Źródło:: Journal of Medical Informatics & Technologies; 2008, 12; 77-82
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: The method of neuron weight vector initial values selection in Kohonen network
Autorzy:: Chandzlik, S.
Powiązania:: https://bibliotekanauki.pl/articles/333164.pdf
Data publikacji:: 2006
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: neural networks
Kohonen network
neurological diseases diagnosis
Parkinson disease
hemiparesis after ischemic stroke
Opis:: Diagnosing of morbid conditions by means of automatic tools supported by computers is a significant and often used element in modern medicine. Some examples of these tools are automatic conclusion-making units of Parotec System for Windows (PSW). In the initial period of PSW system implementation, the units were used for recognition of orthopaedic diseases on the basis of the patient's walk and posture [15,17]. Subsequently, many additional options have been implemented, which have been used for purposes of diagnosing neurological diseases [1,2,3,9,12]. During automatic classification of diseases the additional units use elements of neural networks. The vectors based on normalised diagnostic measures [3] are inputs of the units. The measurements describe a patient's posture condition, his walk and overloads occurring on his feet. The Counter-Propagation (CP), two-layer network has been used in one of the automatic conclusion-making units. During CP network activity, we can see not only supervised but unsupervised learning processes as well. This is a characteristic feature of the CP network. The initial steps of the CP network learning process are very important, because the success of the network training process depends on them to a great extent. Therefore, a new method of weight vector initial values selection was proposed. The efficiency of the method was compared with classical methods. The results were very satisfactory. Owing to the proposed method, the time of the network training process as well as the mean-square error and the classification error was reduced. The research has been carried out using clinical cases of some neurological diseases: Parkinson's Disease, left-lateral hemiparesis and right-lateral hemiparesis after ischemic stroke. The measurements, which were made on a control group of patients without any neurological diseases, were the reference for these diagnostic classes.
Źródło:: Journal of Medical Informatics & Technologies; 2006, 10; 189-197
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: A patient walk-data-record modelling using a spline interpolation method
Autorzy:: Chandzlik, S.
Piecha, J.
Powiązania:: https://bibliotekanauki.pl/articles/332939.pdf
Data publikacji:: 2002
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: szkolenia sieci neuronowych
automatyzacja diagnostyki medycznej
neural network training
conclusion-making systems
medical diagnostics automation
Opis:: The paper describes an analytical method of data record description that allows converting samples of discrete data record into continuous function. This operation allows re-sampling the data record with a sampling rate that is adequate to step duration. The record length is limited to an efficient size for training the Conclusion-Making Unit (CMU). Various options available in the PSW equipment [6], [7] give the user many aims in putting diagnosis anyhow, due to simplification of the CMU training process several methods for data records modifications are considered.
Źródło:: Journal of Medical Informatics & Technologies; 2002, 3; MI153-159
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Modelling the data record of a patient walk by langrange-polynomial method
Autorzy:: Chandzlik, S.
Piecha, J.
Powiązania:: https://bibliotekanauki.pl/articles/332944.pdf
Data publikacji:: 2002
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: szkolenia sieci neuronowych
automatyzacja diagnostyki medycznej
neural network training
conclusion-making systems
medical diagnostics automation
Opis:: Various options available in PSW footprint and walking characteristics measuring equipment [6], [7], give the user many aims in putting diagnosis. A Conclusion-Making Unit (CMU) that has been described in this paper supports the diagnosis automation procedures. Due to simplifying the CMU training process some affords in a field of the input record length reduction have been undertaken. The paper describes an analytical method of the data record description that allows converting discrete data samples into continuous function. This way a redigitalisation of the record can be done, where sampling period is matched with the walk length. This normalization allows reducing the data record length used for fast training of the CMU.
Źródło:: Journal of Medical Informatics & Technologies; 2002, 3; MI143-152
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: The diseases classification method on gait abnormalities characteristic contributions
Autorzy:: Chandzlik, S.
Piecha, J.
Powiązania:: https://bibliotekanauki.pl/articles/333759.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: klasyfikacja chorób neurologicznych
choroba Parkinsona
niedowład
udar niedokrwienny mózgu
automatyczne zakończenie
sieci nuronowe
neurological disease classification
Parkinson disease
hemiparesis
ischemic stroke
automatic conclusion
neural networks
Opis:: Present medicine uses computers in various applications, especially in a field of a diseases level classification and diagnosis. In many cases an automatic conclusion making units are the main goal of the computer systems usage. The software units are developed for the diseases classification or for monitoring of the disease medical treatment. An example application was described in this paper. It concerns a gait abnormalities level analysis that is described by a data records gathered by insoles of Parotec System for Windows (PSW) [17,18]. The PSW software package is used for visualisation of the gait characteristic static and dynamic characteristic features. In the authors' works many additional data components were distinguished. The field of the applications is located within the neurological gait characteristics also the source applications concern orthopaedics [16,18]. Careful analysis of the data provided the developers with new areas the PSW applications [4,11,13]. For conclusion making units the artificial networks theory was implemented [2,4,11,13]. For more effective training of the neural networks specific characteristic measures were introduced [4,5]. They allow controlling the training process more precisely, avoiding mistakes in current records classification.
Źródło:: Journal of Medical Informatics & Technologies; 2005, 9; 187-194
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: The interference spectrum extraction of a gait characteristics data record
Autorzy:: Chandzlik, S.
Piecha, J.
Powiązania:: https://bibliotekanauki.pl/articles/333704.pdf
Data publikacji:: 2004
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: szkolenia sieci neuronowych
analiza chodu
zaburzenia chodu
rozpoznanie niedowładu połowicznego
rozpoznanie choroby Parkinsona
neural network training
gait analysis
gait disturbances
hemiparesis diagnosis
Parkinson's disease diagnosis
Opis:: The paper shows several aspects of the gait data record analysis describing neurological diseases. The diagnosis of the gait abnormalities concerns interferences level of the patient physiological records. The disease source and level can be classified by the relevant interference functions. These functions were used for artificial records creation to multiply the necessary set of data needed for neural network training.
Źródło:: Journal of Medical Informatics & Technologies; 2004, 7; KB23-32
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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