Identification of chronic rhinosinusitis phenotypes using cluster analysis
نویسندگان
چکیده
منابع مشابه
Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program.
RATIONALE The Severe Asthma Research Program cohort includes subjects with persistent asthma who have undergone detailed phenotypic characterization. Previous univariate methods compared features of mild, moderate, and severe asthma. OBJECTIVES To identify novel asthma phenotypes using an unsupervised hierarchical cluster analysis. METHODS Reduction of the initial 628 variables to 34 core v...
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در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
15 صفحه اولFrequency And Identification Of Fungal Strains In Patients With Chronic Rhinosinusitis
Background and Objective: Chronic rhinosinusitis (CRS) is one of the most common chronic diseases. In the past decades, there has been an increase in fungal infections of sinuses and fungal rhinosinusitis (FRS) has been diagnosed more frequently. Knowing the fungal flora and its prevalence in CRS patients will allow a better understanding of this disease, permitting a correct diagnosis, trea...
متن کاملInflammatory endotypes of chronic rhinosinusitis based on cluster analysis of biomarkers.
BACKGROUND Current phenotyping of chronic rhinosinusitis (CRS) into chronic rhinosinusitis with nasal polyps (CRSwNP) and chronic rhinosinusitis without nasal polyps (CRSsNP) might not adequately reflect the pathophysiologic diversity within patients with CRS. OBJECTIVE We sought to identify inflammatory endotypes of CRS. Therefore we aimed to cluster patients with CRS based solely on immune ...
متن کاملCluster Analysis of Obesity and Asthma Phenotypes
BACKGROUND Asthma is a heterogeneous disease with variability among patients in characteristics such as lung function, symptoms and control, body weight, markers of inflammation, and responsiveness to glucocorticoids (GC). Cluster analysis of well-characterized cohorts can advance understanding of disease subgroups in asthma and point to unsuspected disease mechanisms. We utilized an hypothesis...
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ژورنال
عنوان ژورنال: International Forum of Allergy & Rhinology
سال: 2015
ISSN: 2042-6976
DOI: 10.1002/alr.21496