@article{(Open Science Index):https://publications.waset.org/pdf/10010296,
	  title     = {Designing an Integrated Platform for Real-Time Recommendations Sharing among the Aged and People Living with Cancer},
	  author    = {Adekunle O. Afolabi and  Pekka Toivanen},
	  country	= {},
	  institution	= {},
	  abstract     = {The world is expected to experience growth in the number of ageing population, and this will bring about high cost of providing care for these valuable citizens. In addition, many of these live with chronic diseases that come with old age. Providing adequate care in the face of rising costs and dwindling personnel can be challenging. However, advances in technologies and emergence of the Internet of Things are providing a way to address these challenges while improving care giving. This study proposes the integration of recommendation systems into homecare to provide real-time recommendations for effective management of people receiving care at home and those living with chronic diseases. Using the simplified Training Logic Concept, stakeholders and requirements were identified. Specific requirements were gathered from people living with cancer. The solution designed has two components namely home and community, to enhance recommendations sharing for effective care giving. The community component of the design was implemented with the development of a mobile app called Recommendations Sharing Community for Aged and Chronically Ill People (ReSCAP). This component has illustrated the possibility of real-time recommendations, improved recommendations sharing among care receivers and between a physician and care receivers. Full implementation will increase access to health data for better care decision making.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {13},
	  number    = {4},
	  year      = {2019},
	  pages     = {231 - 235},
	  ee        = {https://publications.waset.org/pdf/10010296},
	  url   	= {https://publications.waset.org/vol/148},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 148, 2019},
	}