Wyniki wyszukiwania - BazTech

1

Comparison of openEHR open-source servers

Kryszyn Jacek, Smolik Waldemar T., Wanta Damian, Wróblewski Przemysław, Midura Mateusz

International Journal of Electronics and Telecommunications

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2024

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Vol. 70, No. 1

161--167

EN

Medical information systems could benefit from electronic health records management using openEHR. On the other hand, such a standard adds an additional software layer to the system, which might impact performance. In this article, we present an in-depth comparison of open-source openEHR servers and propose tools for testing them. Load tests for selected opensource servers were prepared using Apache JMeter. Statistics of elapsed time of requests and throughput of each solution were calculated. Results show that open-source openEHR servers significantly differ in performance and stability and prove that load testing should be a crucial part of a development process.

2

Medical prescription classification: a NLP-based approach

Carchiolo Vincenza, Longheu Alessandro, Reitano Giuseppa, Zagarella Luca

Annals of Computer Science and Information Systems

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2019

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Vol. 18

605--609

EN

The digitization of healthcare data has been consolidated in the last decade as a must to manage the vast amount of data generated by healthcare organizations. Carrying out this process effectively represents an enabling resource that will improve healthcare services provision, as well as on-the-edge related applications, ranging from clinical text mining to predictive modelling, survival analysis, patient similarity, genetic data analysis and many others. The application presented in this work concerns the digitization of medical prescriptions, both to provide authorization for healthcare services or to grant reimbursement for medical expenses. The proposed system first extract text from scanned medical prescription, then Natural Language Processing and machine learning techniques provide effective classification exploiting embedded terms and categories about patient/- doctor personal data, symptoms, pathology, diagnosis and suggested treatments. A REST ful Web Service is introduced, together with results of prescription classification over a set of 800K+ of diagnostic statements.

3

Medical Information Systems as an instrument of quality management in medical institutions

Chaban O., Boyko O., Basalkevych O.

Studia i Materiały / Europejska Uczelnia Informatyczno-Ekonomiczna w Warszawie

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2017

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Nr 1(13)

13--22

EN

The process approach of international standards ISO 9000 with the purpose of their implementation in medical institutions and use in the development and operation of medical information systems, is analyzed in the article. The main stages of medical services are considered. A module of e-Health for the assessment of the quality of health services, with taking into account the views of customers and forming the recommendations of quality improvement, has been designed.

PL

W pracy została dokonana analiza podejścia procesowego standardów międzynarodowych serii ISO 9000, w celu ich wprowadzenia do działalności placówek medycznych, oraz wykorzystania podczas tworzenia i eksploatacji systemów informatyczno-medycznych. Rozpatrzone zostały podstawowe etapy świadczenia usług medycznych. Stworzony został moduł systemu E-health do oceny ich jakości, z uwzględnieniem opinii konsumentów i kształtowaniem zaleceń do polepszenia jakości.

4

Ways and possibilities of creating medical information systems based on OLAP-technology

Kostishyn S. V., Tymchyk S. V., Bachynskyi M. I., Fedosova I. V., Kazbekova A., Surtel W.

Przegląd Elektrotechniczny

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2017

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R. 93, nr 5

110--113

EN

This article discusses the principles of creating medical information systems based on the technology of multi-dimensional data sets OLAP. The article presents the essence of this technology and method for use it to build data management technology in medical information systems, as well as the principles of data warehousing.

PL

W artykule omówiono zasady tworzenia medycznych systemów informatycznych opartych na technologii wielowymiarowych zbiorów danych OLAP. Artykuł prezentuje cechy tej technologii i metody wykorzystania jej do budowy systemu zarządzania danymi w medycznych systemach informatycznych, a także zasady magazynowania danych.

5

Building compact language models for medical speech recognition in mobile devices with limited amount of memory

Sas J.

Journal of Medical Informatics & Technologies

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2012

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Vol. 20

111--119

EN

The article presents the method of building compact language model for speech recognition in devices with limited amount of memory. Most popularly used bigram word-based language models allow for highly accurate speech recognition but need large amount of memory to store, mainly due to the big number of word bigrams. The method proposed here ranks bigrams according to their importance in speech recognition and replaces explicit estimation of less important bigrams probabilities by probabilities derived from the class-based model. The class-based model is created by assigning words appearing in the corpus to classes corresponding to syntactic properties of words. The classes represent various combinations of part of speech inflectional features like number, case, tense, person etc. In order to maximally reduce the amount of memory necessary to store class-based model, a method that reduces the number of part-of-speech classes has been applied, that merges the classes appearing in stochastically similar contexts in the corpus. The experiments carried out with selected domains of medical speech show that the method allows for 75% reduction of model size without significant loss of speech recognition accuracy.

6

Optimal acoustic model complexity selection in polish medical speech recognition

Sas J., Poreba T.

Journal of Medical Informatics & Technologies

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2011

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Vol. 17

115--122

EN

In the paper, the method of acoustic model complexity level selection for automatic speech recognition is proposed. Selection of the appropriate model complexity affects significantly the accuracy of speech recognition. For this reason the selection of the appropriate complexity level is crucial for practical speech recognition applications, where end user effort related to the implementation of speech recognition system is important. We investigated the correlation between speech recognition accuracy and two popular information criteria used in statistical model evaluation: Bayesian Information Criterion and Akaike Information Criterion computed for applied acoustic models. Experiments carried out for language models related to general medicine texts and radiology diagnostic reporting in CT and MR showed strong correlation of speech recognition accuracy and BIC criterion. Using this dependency, the procedure of Gaussian mixture count selection for acoustic model was proposed. Application of this procedure makes it possible to create the acoustic model maximizing the speech recognition accuracy without additional computational costs related to alternative cross-validation approach and without reduction of training set size, which is unavoidable in the case of cross-validation approach.

7

Application of local bidirectional language model to error correction in polish medical speech recognition

Sas J.

Journal of Medical Informatics & Technologies

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2010

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Vol. 15

127--134

EN

In the paper, the method of short word deletion errors correction in automatic speech recognition is described. Short word deletion errors appear to be a frequent error type in Polish speech recognition. The proposed speech recognition process consists of two stages. At the first stage the utterance is recognized by a typical speech recognizer based on forward bigram language model. At the second stage the word sequence recognized by the first stage recognizer is analyzed and such pairs of adjacent words in the recognized sequence are localized, which are likely to be separated by a short word like conjunction or preposition. The probability of short word appearance in context of found words is evaluated using centered trigrams and backward bigram language model for short words prone to deletion. The set of probabilistic language properties used to correct deletions is called here Local Bidirectional Language Model (in contrast to purely forward or backward model used typically in speech recognition). The decision of short word insertion is based on comparison of deletion error probability of the first stage recognizer and the error probability of the decision based only on centered trigrams and backward model. Despite its simplicity, the method proved to be effective in correcting deletion errors of most frequently appearing Polish prepositions. The method was tested in application to medical spoken reports recognition, where the overall short word deletion error rate was reduced by almost 45%.

8

A multi-agent architecture for interoperable medical information systems

Zarour K., Zarour N.

Journal of Medical Informatics & Technologies

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2010

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Vol. 15

73--79

EN

The Medical information systems evolve constantly. The quality of the medical information system relies on competences, qualifications, and the organization of the participating partners. Those last ones belong to heterogeneous and autonomous information systems. So, it is necessary to assure a permanent cooperation. This paper shows a coherent architectural framework that allows the development of interoperable medical information systems in measure or these systems evolve. The essential idea is to use concepts of multi-agent systems to perform the different activities of medical information system and thus, to adapt the solutions provided by the agent paradigm to solve the different problems encountered while establishing a medical information system.

9

Optimal spoken dialog control in hands-free medical information systems

Sas J.

Journal of Medical Informatics & Technologies

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2009

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Vol. 13

113--120

EN

In the paper a method of optimal selection of utterances used as command entry-words for voice controlled application is presented. Voice controlled programs seem to be particularly useful in the area of medical informatics, where a physician interacts with a program by voice while operating the medical device or being involved in examinations requiring manual activities. The proposed method selects command words from sets of proposals defined for each command so as to minimize the overall probability of incorrect command recognition. First the entry-word dissimilarity matrix is calculated. The word dissimilarities are evaluated using HMM models consisting of appropriately trained acoustic models of the phonemes constituting words. The trained HMM is used as the sample utterance generator for the word. The artificially created utterance samples are then recognized by speech recognizers created for pairs of words. The estimation of correct recognition probability is used as the word dissimilarity measure. The word dissimilarities are then used to determine the average assessment of words selections that can be used as commands. Selection is created by choosing single word from sets of candidates defined for each command. Finally, suboptimal selection is found by using genetic algorithm. Experiments carried out prove that suboptimal selection of command entry-words can observably increase the accuracy of spoken commands recognition in many cases.

10

Metody analizy kognitywnej w medycznych systemach informacyjnych typu DSS

Ogiela L.D.

Computer Science

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2005

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Vol. 7

105-114

PL

W pracy wykazano, że metody sztucznej inteligencji, a w szczególnosci mechanizmy lingwistyczne semantycznego wnioskowania znaczeniowego są możliwe do wykorzystania przy tworzeniu inteligentnych systemów informacyjnych, a także umożliwiają prowadzenie wnikliwej analizy znaczeniowej w prezentowanych systemach informacyjnych typu DSS. W pracy zostały przedstawione informatyczne mechanizmy opisu znaczeniowego obiektów na wybranych przykładach analizy obrazów rdzenia kręgowego. Procedury takiego wnioskowania semantycznego oparte są o model rezonansu kognitywnego i zostały zaaplikowane do zadania znaczeniowej interpretacji wybranego rodzaju zobrazowań diagnostycznych centralnego układu nerwowego jako modułu inteligentnej analizy w systemach informacyjnych. Prezentowana w pracy aplikacja ma charakter badawczy i służy opracowaniu skutecznych metod wykrywania poszukiwanych zmian na pewnym zbiorze danych pochodzących z badań magnetycznorezonansowych struktur rdzenia kręgowego.

EN

This paper demonstrates that AI methods, in particular linguistic mechanisms of semantic meaning reasoning can be applied to the development of intelligent IT systems. They enable also conducting an in-depth meaning analysis in the presented DDS information systems. This paper presents also IT mechanisms of object meaning description on selected examples of spinal cord image analysis. The procedures for such semantic reasoning are based on the model of cognitive resonance. They have been applied to the task of meaning interpretation of a selected type of central nervous system diagnostic images, as an intelligent analysis module in IT systems. The application presented in this paper is of research character and it serves the preparation of efficient lesion detection methods applied to a dataset originating from magnetic and resonance examinations of the spinal cord structures.

11

The JPEG2000 standard for medical image applications

Przelaskowski A.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

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2004

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Vol. 8, No 2

147-158

EN

A new standard of still image compression is characterised in the context of medical applications. Wide spectrum of JPEG2000 features is analysed with respect to its application potential to improve the performance of modern medical services (i.e. telemedicine, PACS, radiology information systems, wireless personal/home health care systems). Image data security techniques, error resilience technologies, client-side interactive Region of Interest (ROI) transmission and decoding (e.g. for teleconsultation with very large radiography exams), and storage of multiple image data sets are considered in detail. Selected tests of coders realized according to parts I and II of JPEG2000 for different modality test images are presented to evaluate the compression efficacy of this standard. Exemplary results of encoding process optimisation by wavelet transform and subband decomposition selection and screen-shots of software interfaces designed for these tests are also presented.

12

Tasks and applicable technologies in computer aided nephrology

Filutowicz Z., Filutowicz J., Szczepaniak P. S., Niewiadomski A.

Journal of Medical Informatics & Technologies

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2001

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Vol. 2, Part. 2

SN3--SN7

EN

Dealing with the problem of co-ordination of subjects involved in kidney transplantation the paper displays new possibilities of using complex information systems for integration of dialysis centres and specialised health care units. Growing requirements of information system customers and development of object modeling methods stimulate creation of complex information systems designed to assist the work of medical staff. In the system presented in the paper information needs of customers are modeled by means of UML diagrams and the system itself involves a number of computer technologies, like inference in uncertainty conditions, artificial intelligence algorithms, knowledge bases, distributed processing, and Internet techniques. The system implementation covers numerous functional modules which are necessary to ensure efficient assistance of medical staff in their work, to improve the quality of patients’ life, and to carry out research in the fields of medicine and computer science.

13

Knowledge representation and information systems in medical sciences

Mysiak A.

Systems : journal of transdisciplinary systems science

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1999

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Vol. 4, No. 1-2

70-80

EN

Strategies are presented which facilitate knowledge ordering for knowledge application in inference assisting medical systems. In spite of general accepted opinions, it has been demonstrated that, not technical computer constraints but difficulties resulting from the fuzzy character of medical science constitute a substantial limitation to what concerns the possibility of creation of models formulated even in a traditional way (descriptive, verbal, graphic).