Academic Journal
Neural Networks as Statistical Methods in Survival Analysis
العنوان: | Neural Networks as Statistical Methods in Survival Analysis |
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المؤلفون: | Edited R. Dybowski, V. Gant, Es Biosciences Publishers, B. D. Ripley, R. M. Ripley |
المساهمون: | The Pennsylvania State University CiteSeerX Archives |
المصدر: | http://www.stats.ox.ac.uk/pub/bdr/NNSM.pdf. |
المجموعة: | CiteSeerX |
الوصف: | Neural networks are increasingly being seen as an addition to the statistics toolkit which should be considered alongside both classical and modern statistical methods. Reviews in this light have been given by one of us 1,2,3,4,5 and Cheng and Titterington, 6 and it is a point of view which is being widely accepted by the mainstream neural networks community. There are now many texts 5,7,8,9 covering the wide range of neural networks methods; we concentrate here on methods which we see as most appropriate generally in medicine, and in particular on methods for survival data which have not to our knowledge been reviewed in depth (although Schwarzer et al. 10 review a large number of applications in oncology). In particular, we point out the many different ways classification networks have been used for survival data, as well as their many flaws. Most applications of neural networks to medicine are classification problems; that is the task is on the basis of the measured features to assign the patient (or biopsy or EEG or.)tooneofasmall set of classes. Baxt 11 gives a table of applications of neural networks in clinical medicine which are almost all of this form, including those in laboratories. 12 Classification problems include diagnosis, some prognosis problems (‘will she relapse within the next three years?’), establishing depths of anaesthesia 13 and classifying sleep state. 14 Other prognosis problems are sometimes converted to a classification |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.66.1541; http://www.stats.ox.ac.uk/pub/bdr/NNSM.pdf |
الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.66.1541 http://www.stats.ox.ac.uk/pub/bdr/NNSM.pdf |
Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
رقم الانضمام: | edsbas.361A55CB |
قاعدة البيانات: | BASE |
الوصف غير متاح. |