Abstract
Senior Citizen Falls are debilitating and harmful events. Not only does it negatively affect morality, psychology, self-esteem but also tends to be very repetitive and life costly. To prevent future falls, the outpatient senior citizen needs to be equipped with real-time monitoring sensors such as, a wrist band or a sensor necklace. Nonetheless, In the world where real-time sensor monitoring systems are not available due to connectivity limitations and economic affordability, the onus of senior citizen fall predicting, and preventing, needs to be on cognitive systems that are democratized in nature and yield learning from population health analysis. In this paper, we apply population collaborative filtering techniques and artificial intelligent models to cohort high risk senior citizen clusters and alert healthcare professionals and primary care family members.
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Notes
- 1.
Important Facts about Falls - https://www.cdc.gov/homeandrecreationalsafety/falls/adultfalls.html.
- 2.
Falls In Older People - https://www.who.int/ageing/projects/SEARO.pdf.
- 3.
You can control your asthma - https://www.cdc.gov/asthma/pdfs/asthma_brochure.pdf.
- 4.
Global Report on Falls Prevention – Epidemiology of falls - https://www.who.int/ageing/projects/1.Epidemiology%20of%20falls%20in%20older%20age.pdf.
- 5.
Disparity in the Fear of Falling Between Urban and Rural Residents - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3895525/.
- 6.
‘Aging In Place’ tech helps seniors live in their home longer - https://www.usatoday.com/story/tech/columnist/saltzman/2017/06/24/aging-place-tech-helps-seniors-live-their-home-longer/103113570/.
- 7.
C source code implementing k-means clustering algorithm - http://homepages.cae.wisc.edu/~brodskye/mr/kmeans/.
- 8.
Apple Location Services – Significant Change Location - https://developer.apple.com/documentation/corelocation/cllocationmanager/1423531-startmonitoringsignificantlocati.
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Vuppalapati, C., Ilapakurti, A., Kedari, S., Vuppalapati, R., Vuppalapati, J., Kedari, S. (2020). Human AI Symbiosis: The Role of Artificial Intelligence in Stratifying High-Risk Outpatient Senior Citizen Fall Events in a Non-connected Environments. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_52
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