Autor: Węgrzyn-Wolska, K. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Publishing and syndication information across the educations sites using the RSS feed
Autorzy:: Wegrzyn-Wolska, K.
Powiązania:: https://bibliotekanauki.pl/articles/333151.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: RSS
XML
HTML
konsorcjum wiadomości
RSS feed
news syndication
Opis:: With the increasing number of demand for access to education, we need the new technologies to facilitate learning. The good opportunity is to use the Web, which is an enormous and unlimited source of useful and varied kinds of information. Online learning and teaching is becoming more and more popular. Besides the teaching and learning techniques the education environments also consists a communication tool which allows easy publications and syndications the information (news) across the different education Web sites. This paper presents some statistics related to news syndication and the data format used by publishers for news publication. We describe two of the most popular formats currently used to publish and retrieve news information; the HTML non-structured data format and the XML-based RSS-feed format.
Źródło:: Journal of Medical Informatics & Technologies; 2005, 9; 343-346
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Linking with BIAM: searching for drugs and pharmaceutical substances
Autorzy:: Węgrzyn-Wolska, K.
Powiązania:: https://bibliotekanauki.pl/articles/333882.pdf
Data publikacji:: 2007
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: eklsporacja tekstów biomedycznych
pochodzenie synonimów i skrótów
biomedicines text mining
named entity recognition
synonyms and abbreviation extraction
Opis:: The quantity of biomedical publications is growing at an exponential rate. With such explosive growth of the content, it is more and more difficult to locate, retrieve and manage the resulting information. This is why text mining has become a necessity. The main goal of biomedical research is to put knowledge to practical use in the form of diagnoses, prevention, and treatment. It is important to pool the resources between the different individuals researching results. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Information Retrieval and Text Mining methods in biomedicine. The article will first look at the directions in biomedical TM and then describe the work done for the BIAM project, the French on-line Medical Data Base.
Źródło:: Journal of Medical Informatics & Technologies; 2007, 11; 255-261
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Missing-data imputation using wearable sensors in heart rate variability
Autorzy:: Tlija, A.
Węgrzyn-Wolska, K.
Istrate, D.
Powiązania:: https://bibliotekanauki.pl/articles/200516.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: data imputation
spline interpolation
linear interpolation
HRV
IoT
Opis:: The objective of this work is to set up a methodology that considers missing data from a connected heartbeat sensor in order to propose a good replacement methodology in the context of heart rate variability (HRV) computation. The framework is a research project, which aims to build a system that can measure stress and other factors influencing the onset and development of heart disease. The research encompasses studying existing methods, and improving them by use of experimental data from case study that describe the participant’s everyday life. We conduct a study to modelize stress from the HRV signal, which is extracted from a heart rate monitor belt connected to a smart watch. This paper describes data recording procedure and data imputation methodology. Missing data is a topic that has been discussed by several authors. The manuscript explains why we choose spline interpolation for data values imputation. We implement a random suppression data procedure and simulate removed data. After that, we implement several algorithms and choose the best one for our case study based on the mean square error.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 2; 255-261
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Patient classification algorithm at urgency care area of a hospital based on the triage system
Autorzy:: Mondragon, N.
Istrate, D.
Wegrzyn-Wolska, K.
Garcia, J. C.
Sanchez, J.C.
Powiązania:: https://bibliotekanauki.pl/articles/951692.pdf
Data publikacji:: 2013
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: triage
classification
SET
fuzzy logic
decision trees
patients
urgency
hospital emergency
algorithm
ocena stanu zdrowia rannych
klasyfikacja
logika rozmyta
drzewa decyzyjne
pacjenci
pomoc szpitalna
algorytm
Opis:: The time passed in the urgency zone of a hospital is really important, and the quick evaluation and selection of the patients who arrive to this area is essential to avoid waste of time and help the patients in a higher emergency level. The triage, an evaluation and classification structured system, allows to manage the urgency level of the patient; it is based on the vital signs measures and clinical data of the patient. The goal is making the classification in the shortest possible time and with a minimal error percentage. Levels are allocated according to the concept that what is urgent is not always serious and that what is serious is not always urgent. In this work, we present a computational algorithm that evaluates the patients within the fever symptomatic category, we use fuzzy logic and decision trees to collect and analyze simultaneously the vital signs and the clinical data of the patient through a graphical interface; so that the classification can be more intuitive and faster. Fuzzy logic allows us to process data and take a decision based on incomplete information or uncertain values, decision trees are structures or rules sets that classify the data when we have several variables.
Źródło:: Journal of Medical Informatics & Technologies; 2013, 22; 87-94
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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