Caronongan III, A and Gorgui-Naguib, H and Naguib, RNG (2018) The Development of Intelligent Patient-Centric Systems for Healthcare. In: Theories to Inform Superior Health Informatics Research and Practice. Healthcare Delivery in the Information Age . Springer International Publishing. ISBN 9783319722863 (Accepted for Publication)
Full text not available from this repository.Abstract
The delivery of healthcare is currently undergoing a major shift from a curative and reactive approach to one of proactive and preventative health management. This is further being accompanied by the fact that the digital information explosion, known as big data, has signalled a patient-centric revolution in medicine.
Thus the development of intelligent patient-centric healthcare systems is becoming a dominant theme in driving new models of care. The ‘intelligent’ attribute of such models is in turn derived from complex theories and implementations of a myriad of AI and data analytics paradigms that present opportunities to discover novel methods of providing accurate patient-centred diagnosis, prognosis and management. This chapter revisits the role that AI has played in the provision of more personalised solutions and treatments, namely through the development and applications of various artificial neural networks and hidden Markov models in a wide range of clinical and healthcare services arenas.
| Item Type: | Book Section |
|---|---|
| Keywords: | Artificial Intelligence, Big Data, Medicine, Clinical Applications; Artificial Neural Networks, Hidden Markov Models |
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Raouf Naguib |
| Date Deposited: | 05 Feb 2018 14:22 |
| Last Modified: | 05 Feb 2018 14:22 |
| URI: | https://hira.hope.ac.uk/id/eprint/2352 |
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