Markov chain models for breast cancer
ABSORBING MARKOV CHAIN FOR BREAST CANCER
... Abstract: Breast cancer is the most common type of cancer in women and ranks first in the ...female cancer in industrialized countries and around 14% in developing ...
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A review and application of hidden Markov models and double chain Markov models
... The Viterbi algorithm (VA) is defined in [24] as a “recursive optimal solution to the problem of estimating the state sequence of a discrete-time finite-state Markov process observed in memoryless noise”. The VA ...
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Markov chain aggregation for agent-based models
... When designing an agent model, one is inevitably faced with the prob- lem of finding an acceptable compromise between realism and simplicity. If many aspects are included into the agent description, the model might be ...
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CDS index options in Markov chain models
... finite-state Markov chain representing the underlying ...finite-state Markov chain model is calibrated to data with perfect fits, and several numerical studies are ...the Markov ...
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Test automation for Markov Chain Usage Models
... with Markov Chain Usage Models is an effective method to be used by programmers and testers during web sites development, to guarantee the software ...this models; it supports model ...
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Simulation algorithms for continuous time Markov chain models
... time Markov chains are often used in the literature to model the dy- namics of a system with low species count and uncertainty in ...time Markov chain models (a stochastic simulation ...
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Comparison of multi-state Markov models for cancer progression with different procedures for parameters estimation. An application to breast cancer
... The time that a disease remains in the preclinical detectable phase (PCDP), the sojourn time, is important in determining the potential effectiveness of a screening programme. It provides an absolute upper limit to the ...
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Mouse models for breast cancer
... individual models (an array of mouse models will be presented in depth in the January 2000 issue of the journal Oncogene), herein I discuss some of the lessons we have learned during the past 15 years from ...
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A control chart using copula based Markov chain models
... Statistical process control is an important and convenient tool to stabilize the quality of manufactured goods and service operations. The traditional Shewhart control chart has been used extensively for process control, ...
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Markov chain models of a telephone call center with call blending
... CTMC models can provide rough-cut solutions to these staffing and scheduling problems, much like the Erlang-C or Erlang-A formulæ are employed in the case of inbound-only ...
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Markov chain models of a telephone call center with call blending
... CTMC models and their agreement with the simulation results for an example of a realistic call ...CTMC models might be used for optimal staffing and ...
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Study Of Evolution Of The Incidence And Cancer Mortality Using The Markov Chain
... ABSTRACT: Markov chains are a method among methods we can use to describe the dynamics of a disease in its different ...of Markov chains Epidemiology is not new, rather the basic application of this ...
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Mouse models of breast cancer metastasis
... the pivotal role of TGF-β signaling in breast carcinogenesis. These observations have implications for the development of anti-metastatic therapies. For example, long-term treatment of MMTV-Neu mice with a soluble ...
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Breast cancer risk assessment models
... Claus models has been shown to be relatively poor, with the greatest discrepancies seen with nulliparity, multiple benign breast biopsies, and a strong paternal or first-degree family history ...
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Evaluation of diffusion models in breast cancer.
... Statistical model selection analysis suggests that the monoexponential model describes majority of the data most accurately. There was, however, evidence of regions with signal best described by stretched-exponential and ...
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Risk Models for Breast Cancer and Their Validation.
... density. Breast density is corre- lated with some of the other risk factors in the model, most strongly age and body mass ...the breast covered by dense (opaque) tis- sue and the average is used, the ...
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Survival Models in Breast Cancer Patients
... Background: Breast cancer is the most prevalent malignancy among Iranian ...survival models to determine risk factors, survival times and life expectancies of different types of ...regression ...
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Surrender in Single and Double Decrement. Markov Chain Life Insurance Models
... the Markov chain model of life insurance, which is briefly recalled in Section ...internal models for Solvency II, this main result is of independent ...
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Probabilistic analysis of degradation of façade claddings using Markov chain models
... gathered, Markov chains are used to predict the degradation of claddings and to understand, in some detail, how the characteristics of the claddings contribute to the overall ...The models pro- posed ...
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Simulation study of Markov chain models with an application in Cognitive Radio Networks
... succession models, the validation of Markov chains rely upon predictions of system behavior over time, and is therefore again and again difficult, and may even be hopeless, for really long periods of ...
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