Big data has now gone beyond a conceptual construct to a viable working approach for addressing and making use of huge volumes of data. The expectations of big data applications and outcomes in healthcare such as: a 20% decrease in patient mortality, better information regarding patient health and symptoms, reducing readmission, better point of care decision making, integration of smart devices...

(e.g. the extent of indoor/outdoor living, pets and eating habits). The number of underlying variables is constantly growing, and this hampers comparisons between epidemiological studies on different regions. Even more important, employing diagnostic extracts as tools for detecting allergic sensitizations (by skin prick test or serum IgE) carries inherent problems and can create misleading resu...

We give a classical algorithm for linear regression analogous to the quantum matrix inversion [Harrow, Hassidim, and Lloyd, Physical Review Letters'09, arXiv:0811.3171] low-rank matrices [Wossnig, Zhao, Prakash, Letters'18, arXiv:1704.06174], when input $A$ is stored in data structure applicable QRAM-based state preparation. Namely, suppose we are given an $A \in \mathbb{C}^{m\times n}$ with mi...

personality research has approached a salient consensus step due to widespread use of individual differences, converging on five big model factors with marketing concept. this paper clarifies a market mavenism psychology concept and relates market mavens with big five factor model. market mavens are consumer which have tendency to become especially involved in the marketplace. the purpose of th...