Smart Health: Open Problems and Future Challenges by Andreas Holzinger, Carsten Röcker, Martina Ziefle

By Andreas Holzinger, Carsten Röcker, Martina Ziefle

Prolonged lifestyles expectancy besides the expanding complexity of medication and future health companies increases health and wellbeing charges around the globe dramatically. while the shrewdpermanent health and wellbeing notion has a lot strength to help the idea that of the rising P4-medicine (preventive, participatory, predictive, and personalized), such high-tech drugs produces quite a lot of high-dimensional, weakly-structured info units and large quantities of unstructured details. some of these technological methods besides “big facts” are turning the clinical sciences right into a data-intensive technology. to maintain speed with the transforming into quantities of advanced information, clever clinic methods are a commandment of the long run, necessitating context acutely aware computing in addition to complicated interplay paradigms in new physical-digital ecosystems.

The very winning synergistic blend of methodologies and methods from Human-Computer interplay (HCI) and data Discovery and knowledge Mining (KDD) bargains perfect stipulations for the imaginative and prescient to help human intelligence with laptop studying.

The papers chosen for this quantity concentrate on sizzling issues in clever healthiness; they speak about open difficulties and destiny demanding situations with a purpose to supply a learn schedule to stimulate additional study and progress.

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Extra resources for Smart Health: Open Problems and Future Challenges

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Numerous other approaches have been proposed, including the construction of a unique battery of tests that would provide an actual IQ score for artificial intelligence systems, similar to the way human IQ scores are determined [33]. This challenge is supported by the editorial board of the journal “Intelligence” and members of the Inter‐ national Society for Intelligence Research. A recent paper by Rachlin [34] speculates on the abilities Watson would need, in addition to those it has, to emulate true human behaviour: essential human attributes such as consciousness, the ability to love, to feel, to sense, to perceive, and to imagine.

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Biol. 18(1), 10–14 (2014) 76. : Knowledge discovery and interactive data mining in bioinformatics - state-of-the-art, future challenges and research directions. BMC Bioinform. 15(S6), I1 (2014) 77. : Combining statistical learning with a knowledgebased approach-a case study in intensive care monitoring. In: ICML 1999, pp. 268–277 (1999) 78. : Binary tree-structured vector quantization approach to clustering and visualizing microarray data. Bioinformatics 18(Suppl 1), S111–S119 (2002) 79. : Analysis of Multivariate and High-Dimensional Data.

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