نتایج جستجو برای: predictive set points

تعداد نتایج: 1012142  

Journal: :iranian red crescent medical journal 0
rokhsareh aghili endocrine research center (firouzgar), institute of endocrinology and metabolism (hemmat campus), tehran university of medical sciences, tehran, ir iran maryam kia department of internal medicine, tehran university of medical sciences, tehran, ir iran alipasha meysamie department of community and preventive medicine, faculty of medicine, tehran university of medical sciences, tehran, ir iran seyed mojtaba aghili department of emergency medicine, imam khomeini hospital, tehran university of medical sciences, tehran, ir iran omalbanin paknejad division of pulmonology, shariati hospital, tehran university of medical sciences, tehran, ir iran; division of pulmonology, shariati hospital, poc: 1411413137, tehran, ir iran. tel: +98-2184901; fax: +98-2188633039; email:

conclusions the fev1/fev6 ratio can be used as a valid surrogate for fev1/fvc in the diagnosis of airway obstruction, especially for screening purposes in high-risk populations for copd. moreover, fev6 is an acceptable alternative for fvc in detection of restrictive pattern. results this study shows that the current cut-off points used to detect obstruction and restriction can be replaced by fe...

Journal: :International Journal of Computational Geometry & Applications 2003

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید مدنی آذربایجان - دانشکده علوم پایه 1392

let g=(v,e) be a graph with vertex set v and edge set e.for two vertices u,v of g ,the closed interval i[u,v] ,consists of u,v and all vertices lying in some u-v geodesic in g.if s is a set of vertices of g then i[s]is the union of all sets i[u,v]for u,v ? s. if i[s]=v(g) , then s is a geodetic set for g.the geodetic number g(g) is the minimum cardinality of geodetic set.the maximum cardinalit...

Journal: :Journal of the Mathematical Society of Japan 2007

Journal: :International Journal of Mathematics and Mathematical Sciences 2001

Journal: :Transactions on Machine Learning and Artificial Intelligence 2018

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