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- W2000270911 abstract "The overall aim of this project is to combine the approach of Bayesian belief networks with that of survival analysis. The analysis can take advantage of the benefits of continuous data and censoring from survival analysis but still have the ability to represent causal relationships by using Bayesian belief networks. We wish to apply the methodology to data from the medical domain, in particular data for lengths and outcomes of spells in geriatric departments. This application of the model to include dynamic aspects of geriatric data is likely to lead to a greater understanding of how diseases are caused and what factors affect duration of an illness or length of spell in hospital. Such factors are clearly of interest to hospital administrators and health care managers." @default.
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- W2000270911 date "1998-12-01" @default.
- W2000270911 modified "2023-09-26" @default.
- W2000270911 title "Geriatric applications of Bayesian networks and survival analysis" @default.
- W2000270911 doi "https://doi.org/10.1145/956034.956037" @default.
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