438 research outputs found

    Markov Chain Modelling for Geriatric Patient Care

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    Summary Objectives: To show that Markov chain modelling can be applied to data on geriatric patients and use these models to assess the effects of covariates. Methods: Phase-type distributions were fitted by maximum likelihood to data on times spent by the patients in hospital and in community-based care. Data on the different events that ended the patients’ periods of care were used to estimate the dependence of the probabilities of these events on the phase from which the time in care ended. The age of the patients at admission to care and the year of admission were also included as covariates. Results: Differential effects of these covariates were shown on the various parameters of the fitted model, and interpretations of these effects made. Conclusions: Models based on phase-type distributions were appropriate for describing times spent in care, as the ordered phases had an interpretable structure corresponding to increasing amounts of care being given.</jats:p

    Applications of phase type survival trees in HIV disease progression modelling

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    It is important to model progression of a disease to understanding if the patient's condition is improving or getting worse. In the case of HIV disease, the change in the patient's CD4+ T cell count is used to calculate the progression of HIV disease i.e. if the CD4 count goes down it represent the progression of the patient's HIV disease. Due to the lack of an effective cure for HIV disease, it is crucial to monitor the disease progression to managing HIV disease effectively. Therefore, this study is aimed to model HIV disease progression by using phase type survival trees to cluster patients into homogenous groups based on their disease progression to understand the effect of different factors of prognostic significance and their interactions affecting the disease progression. The proposed methods are evaluated using an empirical data of 1,838 HIV-infected patients. The methods developed in this study can also be used for modelling the progression of other chronic conditions or diseases

    Fitzwilliam Museum McClean Bequest

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    Frank McClean (1837–1904) was not only an astronomer and pioneer of objective prism spectrography, but also an accomplished and systematic collector of art, books and manuscripts. McClean's collections, which were left to the Fitzwilliam Museum, Cambridge, on his death, were at that time the most notable bequest since the Museum's foundation. The fifteenth- and sixteenth-century printed books in his bequest, most of them produced in continental Europe, are described here in detail, with bibliographical descriptions and information on their provenance. Illustrated books are listed separately. The author of the catalogue, Charles Edward Sayle (1864–1924) was an erudite and popular librarian whose career was devoted to cataloguing and editing rare books in the University of Cambridge. His obituary praised him as 'a fine example of the type of man who likes to catalogue things in the right order'.</jats:p

    Some challenges facing Lean Thinking in healthcare

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    Copyright @ The Authors 2009. Published by Oxford University Press in association with the International Society for Quality in Health Care. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/ licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.No abstract available (Editorial).EPSR

    Summary report of a virtual gathering of youth on November 10th, 2021

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    Alyssa McClean, MPH, Emily York, MPH.Title from PDF cover (viewed on July 5, 2022).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Event sponsors: Oregon Health Authority, Oregon Climate and Health Program, University of Oregon, Our Climate, Youth Era.Mode of access: Internet from the Oregon Government Publications Collection.Text in English

    When Harry left Sally: A New Estimate of Marital Disruption in the U.S., 1860 - 1948

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    Divorce rate is a poor indicator of marital instability because many marital disruptions never become divorces. This paper provides the first estimate of the rate of marital disruption in the U.S. in 1860 - 1948. Marital disruption rate was similar to divorce rate after the Civil War but the two rates wildly diverged in the early 20th century. In 1900 - 1930, the disruption rate was as much as double the divorce rate, implying that perhaps half of all disruptions never reached the court. In the long run, the cohort rate of marital disruption increased from about 10% in the mid-1860s to about 30% in the 1940s.divorce, marital disruption, separation

    Communicating Chemical Congregation: A Molecular AND Logic Gate with Three Chemical Inputs as a �Lab-on-a-Molecule� Prototype

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