NasoNet, Joining Bayesian Networks, and Time to Model Nasopharyngeal Cancer Spread

Galán, Severino F.; Aguado, Francisco; Díez, F. J.; Mira, José

doi:10.1007/3-540-48229-6_30

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…There are fewer applications of Bayesian networks to medical prognosis than there are to medical diagnosis; for example, predicting survival in malignant skin melanoma [429], or NasoNet, a temporal Bayesian network model for nasopharyngeal cancer spread [172].…”

Section: Prognosismentioning

confidence: 99%

Student Modeling

Sucar¹,

Noguez²

2008

Bayesian Networks

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Statistics in Practice is an important international series of texts which provide detailed coverage of statistical concepts, methods and worked case studies in specific fields of investigation and study.With sound motivation and many worked practical examples, the books show in down-to-earth terms how to select and use an appropriate range of statistical techniques in a particular practical field within each title's special topic area.The books provide statistical support for professionals and research workers across a range of employment fields and research environments. Subject areas covered include medicine and pharmaceutics; industry, finance and commerce; public services; the earth and environmental sciences, and so on.The books also provide support to students studying statistical courses applied to the above areas. The demand for graduates to be equipped for the work environment has led to such courses becoming increasingly prevalent at universities and colleges.It is our aim to present judiciously chosen and well-written workbooks to meet everyday practical needs. Feedback of views from readers will be most valuable to monitor the success of this aim.

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Section: Prognosismentioning

confidence: 99%

Student Modeling

Sucar¹,

Noguez²

2008

Bayesian Networks

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“…Unlike rule‐based systems, BN deal with repeated decision making by using probability calculus and decision theory 3. These systems have been utilized in medicine and the biological sciences4–8 for years but the application to formulation has yet to be explored.…”

Section: Introductionmentioning

confidence: 99%

Comparison of statistical analysis and Bayesian networks in the evaluation of dissolution performance of BCS Class II model drugs

Wilson

Peng

Augsburger

2005

Journal of Pharmaceutical Sciences

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“…Количественная оценка риска альтернативных медицинских вмешательств позволяет минимизировать риски развития нежелательных явлений и принимать обоснованные решения, как со стороны лечащего врача, так и со стороны пациента [4]. Известны примеры построения прогностических моделей в областях онкологии [5] и инфекционных заболеваний [6].…”

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