نتایج جستجو برای: bn20
تعداد نتایج: 47 فیلتر نتایج به سال:
BACKGROUND The aim of this study was to translate the EORTC quality of life questionnaire for brain cancer, the QLQ-BN20, into Persian, and to evaluate its psychometric properties when used among brain cancer patients in Iran. METHODS A standard backward and forward translation procedure was used to generate the Persian language version of the QLQ-BN20. The QLQ-BN20 was administered together ...
A BN20 network is a two level belief net in which parent interactions are modeled using the noisy-or interaction model. In this paper we discuss application of the SPI local expression language [1] to effi cient inference in large BN20 networks. In particular, we show that there is sig nificant structure which can be exploited to improve over the Quickscore result. We further describe how sym...
Background Cerebral tumors are associated with high rates of anxiety, depression and reduced health related quality of life. But still psychooncological screening instruments are not implemented in the daily routine of neurosurgical departments. In contrast the EORTC QLQ-C30/ EORTC QLQ- BN20 questionnaire is often used to evaluate quality of life in the framework of clinical studies. We were th...
PURPOSE Radiation Therapy Oncology Group trial 0525 tested whether dose-intensifying temozolomide versus standard chemoradiotherapy improves overall survival (OS) or progression-free survival (PFS) in newly diagnosed glioblastoma. Tests of neurocognitive function (NCF) and symptoms (using the MD Anderson Symptom Inventory-Brain Tumor module; MDASI-BT) and of quality of life (European Organisati...
Devinder Kaur Ajit Singh, Martin Bailey , Raymond Lee 1 Devinder Kaur Ajit Singh, Ph.D., Faculty of Health Sciences, Jalan Raja Muda Aziz, UniversitiKebangsaan Malaysia, 51100 Kuala Lumpur, Malaysia ([email protected], [email protected]) 2 Martin Bailey, Ph.D., Chelsea School, University of Brighton. Hillbrow, Denton Road, Eastbourne BN20 7SR. (Martin [email protected]) 3 Raymond L...
BACKGROUND We aimed to determine the smallest changes in health-related quality of life (HRQoL) scores in the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire core 30 and the Brain Cancer Module (QLQ-BN20), which could be considered as clinically meaningful in brain cancer patients. MATERIALS AND METHODS World Health Organisation performance status (PS)...
Although probabilistic inference in a general Bayesian belief network is an NP-hard prob lem, computation time for inference can be reduced in most practical cases by exploiting domain knowledge and by making approxi mations in the knowledge representation. In this paper we introduce the property of sim ilarity of states and a new method for ap proximate knowledge representation and in fer...
RICHARD SCHODDE1, WALTER J. BOCK2, EDWARD C. DICKINSON3, ROBERT J. DOWSETT4, MARY K. LECROY5, RICARDO L. PALMA6 & CARLO VIOLANI7 1Australian National Wildlife Collection, CSIRO Ecosystem Sciences, GPO Box 1700, Canberra, ACT 2601, Australia. E-mail: [email protected] 2Department of Biological Sciences, Columbia University, New York, NY 10027, U.S.A. 3Flat 3, Bolsover Court, 19 Bolsover ...
MARCOS A. RAPOSO, JOSÉ G. TELLO 3, , EDWARD C. DICKINSON & GUILHERME R. R. BRITO 1Departamento de Vertebrados, Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil. E-mail: [email protected]; [email protected] 2Department of Biology, Long Island University, Brooklyn, NY 11201. E-mail: [email protected] 3Department of Ornithology, American Museum of Natural History...
A recognition network is a multilayer per ception (MLP) trained to predict posterior marginals given observed evidence in a par ticular Bayesian network. The input to the MLP is a vector of the states of the eviden tial nodes. The activity of an output unit is interpreted as a prediction of the posterior marginal of the corresponding variable. The MLP is trained using samples generated from ...
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