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    Application of Machine Learning in Identifying Premature Aging

    DOI Logo 10.17352/aggr.000038

    Published On: August 13, 2024 | Pages: 013 - 021

    Author(s): Madina Suleimenova, Kuat Abzaliyev, Akbota Bugibayeva*, Symbat Abzaliyeva, Diana Sundetova, Almagul Kurmanova, Absatarova Karashash, Ardak Nurbakyt, Jardemova K, Merey Abdykassymova, Raziya Ospanova, Nazipa Baizhigitova, Ulzhas Sagalbayeva and Raushan Bitemirova

    ORCID Logo  https://orcid.org/0000-0003-1417-2711

    Previously pathological ageing is known to be mainly associated with the development of cardiovascular disease, which is caused by a combination of socioeconomic, metabolic, behavioural, and environmental risk factors. These include sex differences, age, high blood pressure, obesity, low physical activity, smoking, heavy alcohol consumption, high cholesterol and gluco ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    Madrid international plan of action on ageing – some reflections

    DOI Logo 10.17352/aggr.000037

    Published On: May 31, 2024 | Pages: 006 - 012

    Author(s): Mala Kapur Shankardass*

    ORCID Logo  0000-0002-9952-4765

    Introduction: The World Assembly on Ageing in 2002 came out with ‘The Madrid International Plan of Action on Ageing’ as guidance to member countries of the UN to plan their development policies by focusing on their respective population ageing pattern, current and projected. However, even after over twenty years since the document was signed by UN member countries to ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    Metaverse technologies in managing frailty among older individuals: A systematic review

    DOI Logo 10.17352/aggr.000036

    Published On: May 10, 2024 | Pages: 001 - 005

    Author(s): Eiko Takano*, Kota Nishiyori, Hisataka Maruyama, Toshio Fukuda, Izumi Kondo and Yutaka Ishibashi

    ORCID Logo  0000-0003-2623-0405

    Introduction: Frailty, characterized by declines in physical, psychological, and social functions, presents challenges to aging populations. While multicomponent exercise programs have shown efficacy, accessibility can be limited. Virtual Reality (VR) technologies, including Metaverse integration, show promise for frailty management. Studies have demonstrated positive ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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