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    Wyświetlanie 1-12 z 12
    Tytuł:
    Multivariate statistical interpretation of clinical data of prolactinoma patients
    Interpretacja statystyczna wielowymiarowych danych klinicznych pacjentów z prolaktynemią
    Autorzy:
    Georgieva-Nikolova, R.
    Kamenov, Z.
    Slavova, M.
    Nikolov, M.
    Simeonov, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/388163.pdf
    Data publikacji:
    2013
    Wydawca:
    Towarzystwo Chemii i Inżynierii Ekologicznej
    Tematy:
    prolactinoma
    clinical data
    data treatment
    cluster analysis
    principal components analysis
    prolaktynemia
    dane kliniczne
    obróbka danych
    analiza skupień
    analiza głównych składowych
    Opis:
    This study reveals some specific relationships between the clinical parameters usually checked at prolactinoma patients allowing in such a way to optimize the monitoring procedure by selecting a reduced number of health status indicators. This is achieved by multivariate statistical interpretation of the parameter values where clusters of indicators with correlated (similar) response are proven. Additionally, four patterns of prolactinoma patients are found each one of them characterized by specific clinical indicators. This original information could be of use for better interpretation of the health status of the patients.
    Przeprowadzone badania pacjentów z prolaktynemią wykazały istnienie pewnych zależnooeci pomiędzy parametrami klinicznymi, umożliwiających optymalizację procedur monitorowania stanu zdrowia za pomocą mniejszej liczby wskaźników. Taką optymalizację można osiągnąć dzięki interpretacji wartooeci parametrów za pomocą wielowymiarowych metod statystycznych, za pomocą których wykazano istnienie skorelowanych grup zmiennych wskaźnikowych. Dodatkowo stwierdzono istnienie czterech grup pacjentów z prolaktynemią, charakteryzujących się specyficznymi wskaźnikami klinicznymi. Informacje te mogą być wykorzystane do lepszej oceny stanu zdrowia pacjentów.
    Źródło:
    Ecological Chemistry and Engineering. A; 2013, 20, 4-5; 585-594
    1898-6188
    2084-4530
    Pojawia się w:
    Ecological Chemistry and Engineering. A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Real world data supporting identification of the pharmacist’s role in obesity and overweight treatment in Poland – a preliminary report
    Autorzy:
    Drozd, Mariola
    Bułaś, Lucyna
    Szkultecka-Dębek, Monika
    Skowron, Agnieszka
    Powiązania:
    https://bibliotekanauki.pl/articles/454892.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Rzeszowski. Wydawnictwo Uniwersytetu Rzeszowskiego
    Tematy:
    overweight
    obesity
    pharmaceutical care
    treatment, real world data
    Opis:
    Introduction. Obesity is a significant health and economic problem, both for the patient and the health care system. An essential element in the prevention and treatment of each disease is the engagement of all groups of healthcare professionals. In our study, we performed an analysis of the real world data, obtained from a survey of the medical and socioeconomic problems associated with overweight and obesity. We aimed to identify the pharmacist’s role in the management of overweight and obese patients, including their individualized education in an outpatient setting. Material and methods. The study material consisted of responses obtained from a specially designed questionnaire. Our findings indicate that the study patients had easy access to a pharmacist’s professional knowledge, relevant to comprehensive treatment of obesity. In addition, our data indicates a lack of patient knowledge of a healthy lifestyle and an inability to implement such knowledge in practice. Results. The community pharmacist should actively provide support to patients with obesity (including the primary obesity and those who want to lose excessive body mass for health-related and also for aesthetic reasons) and the management of their weight. The results of our study should be considered as an introduction to further research to facilitate the understanding of problems and expectations of patients and to prepare pharmacists to perform pharmaceutical care (PC) in this regard. Conclusion. One of the potential options to protect society against the obesity epidemic is an education about the risks inherent to obesity and promotion of a healthy lifestyle.
    Źródło:
    European Journal of Clinical and Experimental Medicine; 2017, 3; 192-199
    2544-2406
    2544-1361
    Pojawia się w:
    European Journal of Clinical and Experimental Medicine
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Austempered Ductile Iron Manufacturing Data Acquisition Process with the Use of Semantic Techniques
    Autorzy:
    Wilk-Kołodziejczyk, D.
    Kluska-Nawarecka, A. S.
    Regulski, K.
    Adrian, W.
    Jaśkowiec, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/355169.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    austempered ductile iron
    thermal treatment
    properties
    process data
    data integration
    ontology
    Opis:
    The aim of this work was to propose a methodology supporting the task of collecting the comparative data on studies of the mechanical properties of ADI. Collecting of research data is an important step in the process of finding the optimum design solutions for newly made products - experimental data allow us properly calibrate the manufacturing process of ADI to let the final product achieve the required properties. Parameters of the ADI production process, i.e. the time and temperature of austenitising and austempering, as well as the alloying elements added to ductile iron affect the ADI properties. The design process can use research data collected, among others, from the Web. As stated in the article, the process of data acquisition can be supported by semantic technologies, including ontologies which are descriptive logic formalism.
    Źródło:
    Archives of Metallurgy and Materials; 2016, 61, 4; 2117-2122
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Specifics personalized approach in the analysis of medical information
    Autorzy:
    Melnykova, N.
    Marikutsa, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/411025.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    decision support system
    data formalization
    therapeutic treatment schemes
    personalized of data
    Opis:
    In this article suggest some new approaches to solving the problems of medical data analysis and their personalization. To accomplish this was proposed to create a decision support system to the execution of sequence stages of analysis of patient's data. The main stages of development and design of decision support systems that enable to make decomposition of control process and describe the relationship between input and output control flows. Applying the theory of decision trees during construction of decision trees of decision support system is due to the formation of a sequence of questions asked by the doctor when searching an individual approach when choosing a treatment. Decision tree creates a hierarchical structure of rules. This approach allows you to present the logic of sequence issues by doctor in solving the medical problem history and it makes possible to simulate decision making process by physician when selecting treatment scheme. Search the target value of output of decision medical support system makes it possible to select top of graph system that is located with more probability on the best way to the target. Important step in addressing the process of personalizing treatment schemes is estimated function that is based on Bayes theorem. Weight of occurrence next event corresponds to the highest value of the posterior probability of occurrence of the next state, given the time-dependent input parameters. Proposed improved method of decision-making for personalization standard schemes by modifying the method of decision-making based on decision trees considering relationship between the input parameters and evaluation function and result of its works is a personalized therapeutic scheme of treatment. It analyzed the quantitative results of applying the proposed method and existing for determining personalized schemes.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2016, 5, 2; 113-120
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hepatitis C virus epidemiology and prevention in Polish and Swiss population – similar and contrasting experiences
    Autorzy:
    Sakem, Benjamin
    Madaliński, Kazimierz
    Nydegger, Urs
    Stępień, Małgorzata
    Godzik, Paulina
    Kołakowska, Agnieszka
    Risch, Lorenz
    Risch, Martin
    Zakrzewska, Karolina
    Rosińska, Magdalena
    Powiązania:
    https://bibliotekanauki.pl/articles/990971.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Medycyny Wsi
    Tematy:
    hepatitis c
    acute and chronic hcv infection
    epidemiological data
    poland and switzerland
    consequences of infection
    access to treatment
    Opis:
    Objective. The aim of the study was to review available data on HCV in Poland and Switzerland, in order to compare the two European countries with respect to epidemiological situation and efficiency of the response systems. Materials and method. A search of registries, published and grey literature was performed to assemble data on prevalence, rate of detection of new cases, identified risk factors for transmission, mortality due to HCV, prevalence of HCC and the consequent liver transplantations, as well as data on treatment in Poland and Switzerland. Results. Overall, the prevalence of anti-HCV antibodies was similar, not exceeding 1%. However, the major transmission routes of HCV infections were different: medical procedures in Poland and drug injections in Switzerland. By combining the available information it was also possible to demonstrate important differences in efficiency of the response systems. There was approximately 1 new diagnosis per 100 estimated undiagnosed cases in the population in Poland per year, compared to 6 in Switzerland, and the treatment rate per 100 estimated active infections was 2 and 4, respectively. Conclusions. Scaling up of the diagnosis and treatment is necessary in both countries; however, the means to achieve this might differ, taking into account the higher concentration of the infections in risk groups in Switzerland than in Poland.
    Źródło:
    Annals of Agricultural and Environmental Medicine; 2016, 23, 3
    1232-1966
    Pojawia się w:
    Annals of Agricultural and Environmental Medicine
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Selected problems of the utilization of wastewater from wood industry by biological processes
    Autorzy:
    Łebkowska, M.
    Załęska-Radziwiłł, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/207066.pdf
    Data publikacji:
    2014
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    biodegradation
    wood industry
    wastewater treatment
    review of literature data
    microorganisms
    biodegradacja
    przemysł drzewny
    oczyszczanie ścieków
    mikroorganizmy
    przegląd literaturowy
    Opis:
    A review of literature data has been presented, concerning selected problems of the utilization of wastewater from woodworking industry with the participation of microorganisms. Special attention has been focused on the biodegradation of components contained in water extracts from natural wood, leachates from wood waste and industrial wastewater generated in manufacturing wood products. Significance of white-rot fungi in enzymatic decomposition of lignin complexes has been emphasized. Many of chemical compounds which have toxic effect on water organisms are present in wastewater from wood industry. Although a lot of these compounds are potentially biodegradable, the decomposition process, especially of adhesives, may be inhibited by their high and harmful concentrations.
    Źródło:
    Environment Protection Engineering; 2014, 40, 4; 69-75
    0324-8828
    Pojawia się w:
    Environment Protection Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Using multi-objective affinity model for mining the rules of revisits within 72 hours for emergency department patients
    Autorzy:
    Chao-Wen, Chen
    Yuh-Wen, Chen
    Moussa, Larbani
    Tzung-Hung, Li
    Powiązania:
    https://bibliotekanauki.pl/articles/578510.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Data Mining
    Leczenie
    Macierze
    Metoda wektorów nośnych (SVM)
    Placówki służby zdrowia
    Matrix
    Medical facilities
    Medical treatment
    Support Vector Machines (SVM)
    Opis:
    When patients return to the emergency department (ED) within 72 hours after their previous ED discharge, it is generally assumed that their initial evaluation or treatment had been somehow inadequate. Mining data related to unplanned ED revisits is one method to determine whether this problem can be overcome, and to generate useful guidelines in this regard. In this study, we use the receiver operating characteristic (ROC) curve to compare the data mining model by affinity set to other well known approaches. Some scholars have validated the affinity model for its simplicity and power in handling information systems especially when showing binary consequences. In experimental results, SVM showed the best performance, with the affinity model following only slightly behind. This study demonstrated that when patients visit the ED with normotensive status or smooth breath patterns, or when the physician-patient ratio is moderate, the frequency with which patients revisit the ED is significantly higher.
    Źródło:
    Multiple Criteria Decision Making; 2015, 10; 5-31
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear stabilizing control of an uncertain bioprocess model
    Autorzy:
    Dimitrova, N.
    Krastanov, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/930090.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    oczyszczanie ścieków
    stabilność asymptotyczna
    sterowanie nieliniowe
    wastewater treatment model
    local bifurcations of steady states
    asymptotic stabilization
    extremum seeking
    uncertain data
    Opis:
    In this paper we consider a nonlinear model of a biological wastewater treatment process, based on two microbial populations and two substrates. The model, described by a four-dimensional dynamic system, is known to be practically verified and reliable. First we study the equilibrium points of the open-loop system, their stability and local bifurcations with respect to the control variable. Further we propose a feedback control law for asymptotic stabilization of the closed-loop system towards a previously chosen operating point. A numerical extremum seeking algorithm is designed to stabilize the dynamics towards the maximum methane output flow rate in the presence of coefficient uncertainties. Computer simulations in Maple are reported to illustrate the theoretical results.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2009, 19, 3; 441-454
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Method to Make Classification of the Heat Treatment Processes Performed on Bronze Using Incomplete Knowledge
    Autorzy:
    Kluska-Nawarecka, S.
    Górny, Z.
    Regulski, K.
    Wilk-Kołodziejczyk, D.
    Jančíková, Z.
    David, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/947501.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    information technology
    foundry industry
    heat treatment
    classification algorithms
    rough sets
    data mining
    technologia informacyjna
    przemysł odlewniczy
    obróbka cieplna
    algorytmy klasyfikacyjne
    zbiory przybliżone
    Opis:
    The article describes the problem of selection of heat treatment parameters to obtain the required mechanical properties in heat- treated bronzes. A methodology for the construction of a classification model based on rough set theory is presented. A model of this type allows the construction of inference rules also in the case when our knowledge of the existing phenomena is incomplete, and this is situation commonly encountered when new materials enter the market. In the case of new test materials, such as the grade of bronze described in this article, we still lack full knowledge and the choice of heat treatment parameters is based on a fragmentary knowledge resulting from experimental studies. The measurement results can be useful in building of a model, this model, however, cannot be deterministic, but can only approximate the stochastic nature of phenomena. The use of rough set theory allows for efficient inference also in areas that are not yet fully explored.
    Źródło:
    Archives of Foundry Engineering; 2014, 14, 2; 69-72
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Medical data integration - an algebraic approach
    Autorzy:
    Jankowska, B.M.
    Powiązania:
    https://bibliotekanauki.pl/articles/333387.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    integracja danych
    metody leczenia
    diagnostyka medyczna
    format XML
    data integration
    taxonomy of concepts
    tuple format
    XML format
    medical diagnosis
    treatment method
    algebra of medical concepts
    Opis:
    It would be difficult to find a knowledge domain in which data integration is as important as in medicine, being interested in human health and life. Firstly, medical data integration enables acquiring all the information, stored anywhere, about a patient who needs an urgent medical intervention. Secondly, thanks to the integration, we can obtain an aggregate data comprising all known, similar medical cases. In fact, the aggregate data is a source of medical knowledge and a base for formulating conclusions about hypothetical diagnoses, and methods of treating the disorder diagnosed. In the paper, it is shown that a uniform, theoretical approach for the both kinds of data integration: horizontal and vertical, respectively, is possible. It is an algebraic approach, joined together with the use of taxonomy of medical and related concepts. Having the algebra of the concepts, we can as well check the permissibility of data integrating (by means of the subsumption relation, defined on the set of all concepts), as describe the semantics of this process (by means of the usual algebraic operations of sum and intersection).
    Źródło:
    Journal of Medical Informatics & Technologies; 2008, 12; 241-247
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of the impact of explanatory variables on the accuracy of prediction of daily inflow to the sewage treatment plant by selected models nonlinear
    Ocena wpływu zmiennych objaśniających na dokładność predykcji dobowego dopływu do oczyszczalni ścieków wybranymi modelami nieliniowymi
    Autorzy:
    Szeląg, B.
    Bartkiewicz, L.
    Studziński, J.
    Barbusiński, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/205349.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    wastewater treatment plant
    data mining
    random forest
    forecasting inflow
    k-nearest neighbour
    Kernel regression
    oczyszczalnia ścieków
    wydobywanie danych
    las losowy
    dopływ ścieków
    modelowanie
    k-najbliższy sąsiad
    regresja Kernela
    Opis:
    The aim of the study was to evaluate the possibility of applying different methods of data mining to model the inflow of sewage into the municipal sewage treatment plant. Prediction models were elaborated using methods of support vector machines (SVM), random forests (RF), k-nearest neighbour (k-NN) and of Kernel regression (K). Data consisted of the time series of daily rainfalls, water level measurements in the clarified sewage recipient and the wastewater inflow into the Rzeszow city plant. Results indicate that the best models with one input delayed by 1 day were obtained using the k-NN method while the worst with the K method. For the models with two input variables and one explanatory one the smallest errors were obtained if model inputs were sewage inflow and rainfall data delayed by 1 day and the best fit is provided using RF method while the worst with the K method. In the case of models with three inputs and two explanatory variables, the best results were reported for the SVM and the worst for the K method. In the most of the modelling runs the smallest prediction errors are obtained using the SVM method and the biggest ones with the K method. In the case of the simplest model with one input delayed by 1 day the best results are provided using k-NN method and by the models with two inputs in two modelling runs the RF method appeared as the best.
    Celem pracy jest ocena możliwości zastosowania różnych metod data mining do modelowania dopływu ścieków do komunalnej oczyszczalni ścieków. Do opracowania modeli statystycznych metodą wektorów nośnych, lasów losowych, k – najbliższego sąsiada i regresji Kernela wykorzystano szeregi pomiarowe dobowych wartości opadów deszczu, stanów wody w odbiorniku oraz dopływów do komunalnej oczyszczalni ścieków w Rzeszowie. Z obliczeń wykonanych metodami SVM, RF, k-NN i K wynika, że dla modeli z jedną zmienną objaśniającą opóźnioną o dobę w stosunku do wartości dopływu, najlepsze wyniki otrzymano modelem autoregresyjnym bazującym na metodzie k-NN a najgorsze regresją Kernela. W przypadku modeli z dwoma zmiennymi objaśniającymi najmniejsze wartości błędów uzyskano, dla modeli uwzględniających dopływ ścieków i całkowitą wysokość opadu deszczu z jednodobowym opóźnieniem; najlepsze wyniki uzyskano metodą RF a najgorsze regresji Kernela. Dla modeli z dwiema zmiennymi objaśniającymi, ale trzema sygnałami wejściowymi, najmniejsze błędy dopływu ścieków do OŚ uzyskano metodą SVM, a najgorsze regresji Kernela. Z wykonanych symulacji stwierdzono, że w większości przypadków najmniejsze wartości błędów dopływu ścieków do oczyszczalni otrzymano metodą SVM a największe metodą K. W przypadku najprostszego modelu z jednym sygnałem wejściowym opóźnionym o 1 dobę najlepsze wyniki obliczeń uzyskano metodą k-NN, a w dwóch przypadkach modeli, gdzie ujęto 2 sygnały wejściowe, najlepsza okazała się metoda RF.
    Źródło:
    Archives of Environmental Protection; 2017, 43, 3; 74-81
    2083-4772
    2083-4810
    Pojawia się w:
    Archives of Environmental Protection
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Methodology for the Construction of a Rule-Based Knowledge Base Enabling the Selection of Appropriate Bronze Heat Treatment Parameters Using Rough Sets
    Metodyka budowy regułowej bazy wiedzy umożliwiającej dobór odpowiednich parametrów obróbki cieplnej brązów z zastosowaniem zbiorów przybliżonych
    Autorzy:
    Górny, Z.
    Kluska-Nawarecka, S.
    Wilk-Kołodziejczyk, D.
    Regulski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/353780.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    application of information technology to the foundry industry
    heat treatment
    classification algorithms
    rough sets
    data mining
    zastosowanie technologii informatycznych dla przemysłu odlewniczego
    obróbka cieplna
    algorytm klasyfikacji
    zbiory przybliżone
    Opis:
    Decisions regarding appropriate methods for the heat treatment of bronzes affect the final properties obtained in these materials. This study gives an example of the construction of a knowledge base with application of the rough set theory. Using relevant inference mechanisms, knowledge stored in the rule-based database allows the selection of appropriate heat treatment parameters to achieve the required properties of bronze. The paper presents the methodology and the results of exploratory research. It also discloses the methodology used in the creation of a knowledge base.
    Decyzje dotyczące odpowiedniej metody obróbki cieplnej brązów mają wpływ na uzyskanie końcowych własności tych materiałów. W pracy przedstawiono przykład budowy bazy wiedzy z zastosowaniem teorii zbiorów przybliżonych. Wiedza zgromadzona w bazie reguł umożliwia za pomocą mechanizmów wnioskowania dobór odpowiednich parametrów obróbki w celu uzyskania pożądanych własności brązu.
    Źródło:
    Archives of Metallurgy and Materials; 2015, 60, 1; 309-312
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-12 z 12

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