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2017 | OriginalPaper | Buchkapitel

Towards Pervasive Predictive Analytics in Interactive Prevention and Rehabilitation for Older People

verfasst von : Maria Claudia Buzzi, Marina Buzzi, Amaury Trujillo

Erschienen in: ICTs for Improving Patients Rehabilitation Research Techniques

Verlag: Springer International Publishing

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Abstract

The world population is rapidly aging and becoming a burden to health systems around the world. In this work we present a conceptual framework to encourage the research community to develop more comprehensive and adaptive ICT solutions for prevention and rehabilitation of chronic conditions in the daily life of the aging population and beyond health facilities. We first present an overview of current international standards in human functioning and disability, and how chronic conditions are interconnected in older age. We then describe innovative mobile and sensor technologies, predictive data analysis in healthcare, and game-based prevention and rehabilitation techniques. We then set forth a multidisciplinary approach for the personalized prevention and rehabilitation of chronic conditions using unobtrusive and pervasive sensors, interactive activities, and predictive analytics, which also eases the tasks of health-related researchers, caregivers and providers. Our proposal represents a conceptual basis for future research, in which much remains to be done in terms of standardization of technologies and health terminology, as well as data protection and privacy legislation.

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Literatur
1.
Karlamangla, A., Tinetti, M., Guralnik, J., Studenski, S., Wetle, T., Reuben, D.: Comorbidity in older adults: nosology of impairment, diseases, and conditions. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 62(3), 296–300 (2007)CrossRef
2.
Kirkpatrick, K.: Sensors for seniors. Commun. ACM 57(12), 17–19 (2014)CrossRef
3.
Coyle, H., Traynor, V., Solowij, N.: Computerized and virtual reality cognitive training for individuals at high risk of cognitive decline: systematic review of the literature. Am. J. Geriatr. Psychiatry 23(4), 335–359 (2015)CrossRef
4.
Buzzi, M.C., Buzzi, M., Trujillo, A. (eds.): Healthy aging through pervasive predictive analytics for prevention and rehabilitation of chronic conditions. In: Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques. ACM (2015)
5.
Baccarelli, A., Rienstra, M., Benjamin, E.J.: Cardiovascular epigenetics basic concepts and results from animal and human studies. Circ. Cardiovasc. Genet. 3(6), 567–573 (2010)CrossRef
6.
Peel, N.M., McClure, R.J., Bartlett, H.P.: Behavioral determinants of healthy aging. Am. J. Prev. Med. 28(3), 298–304 (2005)CrossRef
7.
Rowe, J.W., Kahn, R.L.: Successful aging. Gerontologist 37(4), 433–440 (1997)CrossRef
8.
Cieza, A., Stucki, A., Geyh, S., Berteanu, M., Quittan, M., Simon, A., et al.: ICF core sets for chronic ischaemic heart disease. J. Rehabil. Med. 36, 94–99 (2004)CrossRef
9.
Stucki, G., Ewert, T., Cieza, A.: Value and application of the ICF in rehabilitation medicine. Disabil. Rehabil. 24(17), 932–938 (2002)CrossRef
10.
Prodinger, B., Cieza, A., Oberhauser, C., Bickenbach, J., Üstün, T.B., Chatterji, S., et al.: Toward the international classification of functioning, disability and health (ICF) rehabilitation set: a minimal generic set of domains for rehabilitation as a health strategy. Arch. Phys. Med. Rehabil. 97, 875–884 (2016)CrossRef
11.
Nolte, E., McKee, M.: Caring for people with chronic conditions: a health system perspective. In: A Health System Perspective. McGraw-Hill International, Berkshire (2008)
12.
Blazer, D.G.: Depression in late life: review and commentary. J. Gerontol. Med. Sci. 58A, 249–265 (2003)CrossRef
13.
Lobo, A., Saz, P., Marcos, G., Día, J., De-la-Cámara, C.: The prevalence of dementia and depression in the elderly community in a southern European population: The Zaragoza study. Arch. Gen. Psychiatry 52(6), 497–506 (1995)CrossRef
14.
Devanand, D.P., Sano, M., Tang, M., et al.: Depressed mood and the incidence of alzheimer’s disease in the elderly living in the community. Arch. Gen. Psychiatry 53(2), 175–182 (1996)CrossRef
15.
Musselman, D.L., Evans, D.L., Nemeroff, C.B.: The relationship of depression to cardiovascular disease: epidemiology, biology, and treatment. Arch. Gen. Psychiatry 55(7), 580–592 (1998)CrossRef
16.
Simonsick, E.M., Wallace, R.B., Blazer, D.G., Berkman, L.F.: Depressive symptomatology and hypertension-associated morbidity and mortality in older adults. Psychosom. Med. 57(5), 427–435 (1995)CrossRef
17.
Mukkala, M., O’Sullivan, C., Lowes, S.: Mental Health Indicators and Data in EU Member States. Scottish Development Centre for Mental Health, Edinburg (2008)
18.
Knapp, M., Prince, M., Albanese, E., Banerjee, S., Dhanasiri, S., Fernandez, J., et al.: Dementia UK, p. 7. Alzheimer’s Society, London (2007)
19.
Prevention CfDCa: The State of Aging and Health in America 2013, Atlanta (2013)
20.
World Health Organization: What are the main risk factors for falls amongst older people and what are the most effective interventions to prevent these falls? Regional Office for Europe, Copenhagen (2004)
21.
Stel, V.S., Smit, J.H., Pluijm, S.M., Lips, P.: Consequences of falling in older men and women and risk factors for health service use and functional decline. Age Ageing 33(1), 58–65 (2004)CrossRef
22.
Salvador-Carulla, L., Alonso, F., Gomez, R., Walsh, C.O., Almenara, J., Ruiz, M., et al.: Basic concepts in the taxonomy of health-related behaviors, habits and lifestyle. Int. J. Environ. Res. Pub. Health 10(5), 1963–1976 (2013)CrossRef
23.
Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inform. 17(3), 579–590 (2013)CrossRef
24.
Ainsworth, J., Buchan, I.: Combining health data uses to ignite health system learning. Methods Inf. Med. 54(6), 479–487 (2015)CrossRef
25.
McAfee, A., Brynjolfsson, E.: Big data: the management revolution. Harv. Bus. Rev. 90:60–68, 128 (2012)
26.
Peek, N., Swift, S.: Intelligent data analysis for knowledge discovery, patient monitoring and quality assessment. Methods Inf. Med. 51(4), 318 (2012)
27.
Conroy, R., Pyörälä, K., Ae, F., Sans, S., Menotti, A., De Backer, G., et al.: Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur. Heart J. 24(11), 987–1003 (2003)CrossRef
28.
McGorrian, C., Yusuf, S., Islam, S., Jung, H., Rangarajan, S., Avezum, A. et al.: Estimating modifiable coronary heart disease risk in multiple regions of the world: the INTERHEART modifiable risk score. Eur. Heart J. (2010). doi:10.​1093/​eurheartj/​ehq448
29.
Popescu, M., Mahnot, A.: Early illness recognition using in-home monitoring sensors and multiple instance learning. Methods Inf. Med. 51(4), 359 (2012)CrossRef
30.
Iliffe, S., Kharicha, K., Harari, D., Swift, C., Stuck, A.: Health risk appraisal for older people in general practice using an expert system: a pilot study. Health Soc. Care Community 13(1), 21–29 (2005)CrossRef
31.
McCallum, S.: Gamification and serious games for personalized health. Stud. Health Technol. Inform. 177, 85–96 (2012)
32.
Basak, C., Boot, W.R., Voss, M.W., Kramer, A.F.: Can training in a real-time strategy video game attenuate cognitive decline in older adults? Psychol. Aging 23(4), 765 (2008)CrossRef
33.
Deterding, S., Dixon, D., Khaled, R., Nacke, L. (eds.): From game design elements to gamefulness: defining gamification. In: Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments. ACM (2011)
34.
Leonhardt, S., Kassel, S., Randow, A., Teich, T.: Learning in the context of an ambient assisted living apartment: Including methods of serious gaming. In: Motta, G., Wu, B. (eds.) Software Engineering Education for a Global E-Service Economy. Progress in IS, pp. 49–55. Springer, Cham (2014)CrossRef
Metadaten
Titel
Towards Pervasive Predictive Analytics in Interactive Prevention and Rehabilitation for Older People
verfasst von
Maria Claudia Buzzi
Marina Buzzi
Amaury Trujillo
Copyright-Jahr
2017
Buch
ICTs for Improving Patients Rehabilitation Research Techniques

Print ISBN: 978-3-319-69693-5

Electronic ISBN: 978-3-319-69694-2

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-69694-2_1

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