The work is evaluated using a breast cancer prognosis system previously developed in partnership with health care professionals.
The prognosis system SAPS3 (Simplified Acute Physiology Score 3) aims to establish a predictive mortality rate for patients admitted to Intensive Care Units (ICU).
The prognosis system will be founded on a collaboration between sensor systems, advanced reasoning methods for data fusion and signal interpretation, and modeling and simulation systems.
A science-based structural integrity prognosis system (SIPS) is being developed to provide prompt, informed predictions of the structural viability of individual aircraft based on tracking of their actual use and modeling of anticipated usage.
The results obtained were very encouraging and showed that the proposed prognosis system based on health state probability estimation has the potential to be used as an estimation tool for remnant life prediction in industrial machinery.
The development of a predictive model capable of predicting the failure of two or more subsystems that occur simultaneously need to be explored in order to revoke the third limitation of the Markov model used by the RVS machine prognosis system.
In the area of failure prognosis, system states are typically related to critical variables whose future evolution in time might significantly affect the health condition of the process, thus yielding into a critical failure at a particular time instant -typically referred to as the Time-of-Failure (ToF).
(8)–(15) can be coded and embedded to develop an e-prognosis system for this machine using ICT tools and accessories such as PHP (Hypertext Pre-processor), JavaScript, Google graph, application programming interface (API), jQuery, MySQL database and canvg-JavaScript SVG parser and renderer on canvas.
Using clinical measures (e.g., survival time and functional status), prognosis prediction systems advise on the appropriate interventions.
This study introduces an integrated modelling environment (IME) developed within the frames of Structured Analysis and Design Technology and intended for state analysis and prognosis of systems described according to General Systems Theory.
