Abstract
Backgroundto determine extreme cardiovascular and cancer diseases deathrate risks at any time in any region of interest. Design: Apply modern novel statistical methods to raw clinical surveillance data. Methodsmulti-centre, population-based, medical survey data-based bio statistical approach. For this study, cardiovascular and cancer diseases annual recorded deaths numbers in all 195 world countries have been selected, constituting 390D (390-dimensional) biosystem. It is challenging to model such phenomena. Resultsthis paper describes a novel bio-system reliability approach, particularly suitable for multi-regional environmental and health systems, observed over a sufficient timelapse.Traditional statistical methods dealing with temporal observations of multi-regional processes do not have the advantage of dealing efficiently with extensive regional dimensionality. The suggested methodology coped with this challenge well. Conclusionsthe suggested methodology may be used in various public health applications, based on raw clinical survey data.
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