Leaning (1991). Cytotoxic chemotherapy monitoring using stochastic simulation

نویسندگان

  • B. Middleton
  • D. E. Heckerman
  • M. Henrion
  • R. Bellazzi
  • C. Berzuini
  • S. Quaglini
  • D. Spiegelhalter
  • M. Stefanelli
  • A. Hasman
  • M. Fieschi
  • M. Ben-Bassat
چکیده

The belief network framework for reasoning with uncertainty in knowledgebased systems has been around for some time now. As more and more practical applications employing the framework are being developed, it becomes apparent that the framework lacks with regard to explicit means for exerting control over reasoning. In this paper, we extend the belief network framework with a method for selective gathering of evidence for diagnostic applications. To this end, a belief network architecture is developed consisting of two layers: a probabilistic layer specifying a belief network and its associated algorithms, and a control layer providing the method for evidence gathering.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bayesian Networks Applied to Therapy Monitoring

We propose a general Bayesian network model for application in a wide class of problems of therapy monitoring. We discuss the use of stochastic simulation as a computational approach to inference on the proposed class of models. As an illustration we present an application to the monitoring of cytotoxic chemotherapy in breast cancer.

متن کامل

Cytotoxic Chemotherapy Monitoring Using Stochastic Simulation on Graphical Models

12 rst consider one pass of this loop. Concerning the select-node algorithm, we observe that the complexity of this algorithm is determined by the computation of the probabilities of the values of the evidence nodes and of the utilities; these steps require O(mn 2) computations. The computational complexity of select-node therefore is O(m n 2). The performance of the stop-gathering algorithm is...

متن کامل

A Stochastic Model for Indirect Condition Monitoring Using Proportional Covariate Model

This paper introduces a model to make decision on the maintenance of a mechanical component subject to condition monitoring. A stochastic model is used to determine what maintenance action should be taken at a monitoring check and the follow up inspection times. The condition of component has a stochastic relation with measurements. A new state space model is developed and used, to predict the ...

متن کامل

Gonadal function after allogenic bone marrow transplantation for thalassaemia.

Thirty prepubertal patients with thalassaemia major (15 boys and 15 girls) aged from 9.3 to 17.2 years (mean 12.9) who had successfully undergone allogenic bone marrow transplantation were studied. Before the transplant all patients were given short courses of high doses of busulphan (total dose 14 mg/kg) followed by cyclophosphamide (total dose 200 mg/kg). Pituitary gonadal function was assess...

متن کامل

A new stochastic 3D seismic inversion using direct sequential simulation and co-simulation in a genetic algorithm framework

Stochastic seismic inversion is a family of inversion algorithms in which the inverse solution was carried out using geostatistical simulation. In this work, a new 3D stochastic seismic inversion was developed in the MATLAB programming software. The proposed inversion algorithm is an iterative procedure that uses the principle of cross-over genetic algorithms as the global optimization techniqu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998